1:HL["/_next/static/media/e4af272ccee01ff0-s.p.woff2","font",{"crossOrigin":"","type":"font/woff2"}] 2:HL["/_next/static/css/97132489b96da1d5.css","style",{"crossOrigin":""}] 0:["Y_TW_5cOL4VPb7FuqRz3I",[[["",{"children":[["slug","blog18","d"],{"children":["__PAGE__?{\"slug\":\"blog18\"}",{}]}]},"$undefined","$undefined",true],"$L3",[[["$","link","0",{"rel":"stylesheet","href":"/_next/static/css/97132489b96da1d5.css","precedence":"next","crossOrigin":""}]],"$L4"]]]] 5:HL["/_next/static/css/5b2728e81018a7be.css","style",{"crossOrigin":""}] 6:I[8326,["326","static/chunks/326-ead410bae2047633.js","986","static/chunks/986-f27c5a2c4d841870.js","42","static/chunks/app/%5Bslug%5D/page-419f452b4066bb25.js"],""] 7:I[6954,[],""] 8:I[7264,[],""] 3:[null,["$","html",null,{"lang":"ja","children":["$","body",null,{"className":"__className_f367f3 flex flex-col min-h-screen","children":[["$","header",null,{"className":"blog-header py-5","children":["$","div",null,{"className":"container mx-auto px-4","children":["$","div",null,{"className":"flex flex-col items-start","children":[["$","$L6",null,{"href":"/","className":"hover:no-underline","children":["$","h1",null,{"className":"text-6xl font-serif text-gray-800 mb-2 font-normal","children":"Shingoの数学ノート"}]}],["$","p",null,{"className":"text-xl text-gray-400 font-normal","children":"プログラミングと機械学習のメモ"}]]}]}]}],["$","main",null,{"className":"flex-grow","children":["$","$L7",null,{"parallelRouterKey":"children","segmentPath":["children"],"loading":"$undefined","loadingStyles":"$undefined","hasLoading":false,"error":"$undefined","errorStyles":"$undefined","template":["$","$L8",null,{}],"templateStyles":"$undefined","notFound":[["$","title",null,{"children":"404: This page could not be found."}],["$","div",null,{"style":{"fontFamily":"system-ui,\"Segoe UI\",Roboto,Helvetica,Arial,sans-serif,\"Apple Color Emoji\",\"Segoe UI Emoji\"","height":"100vh","textAlign":"center","display":"flex","flexDirection":"column","alignItems":"center","justifyContent":"center"},"children":["$","div",null,{"children":[["$","style",null,{"dangerouslySetInnerHTML":{"__html":"body{color:#000;background:#fff;margin:0}.next-error-h1{border-right:1px solid rgba(0,0,0,.3)}@media (prefers-color-scheme:dark){body{color:#fff;background:#000}.next-error-h1{border-right:1px solid rgba(255,255,255,.3)}}"}}],["$","h1",null,{"className":"next-error-h1","style":{"display":"inline-block","margin":"0 20px 0 0","padding":"0 23px 0 0","fontSize":24,"fontWeight":500,"verticalAlign":"top","lineHeight":"49px"},"children":"404"}],["$","div",null,{"style":{"display":"inline-block"},"children":["$","h2",null,{"style":{"fontSize":14,"fontWeight":400,"lineHeight":"49px","margin":0},"children":"This page could not be found."}]}]]}]}]],"notFoundStyles":[],"childProp":{"current":["$","$L7",null,{"parallelRouterKey":"children","segmentPath":["children",["slug","blog18","d"],"children"],"loading":"$undefined","loadingStyles":"$undefined","hasLoading":false,"error":"$undefined","errorStyles":"$undefined","template":["$","$L8",null,{}],"templateStyles":"$undefined","notFound":"$undefined","notFoundStyles":"$undefined","childProp":{"current":["$L9","$La",null],"segment":"__PAGE__?{\"slug\":\"blog18\"}"},"styles":[["$","link","0",{"rel":"stylesheet","href":"/_next/static/css/5b2728e81018a7be.css","precedence":"next","crossOrigin":""}]]}],"segment":["slug","blog18","d"]},"styles":[]}]}],["$","footer",null,{"className":"bg-[#DDDDDD] text-[#999999] py-8 mt-12 text-center border-t border-[#e5e5e5]","children":["$","div",null,{"className":"container mx-auto px-4","children":[["$","p",null,{"className":"mb-2","children":"© All rights reserved by Shingo Sekine."}],["$","p",null,{"children":["$","a",null,{"href":"#","className":"hover:text-blue-500 transition-colors","children":"Back to top"}]}]]}]}]]}]}],null] 4:[["$","meta","0",{"charSet":"utf-8"}],["$","title","1",{"children":"Shingoの数学ノート"}],["$","meta","2",{"name":"description","content":"プログラミング言語と機械学習のメモ"}],["$","meta","3",{"name":"viewport","content":"width=device-width, initial-scale=1"}],["$","link","4",{"rel":"icon","href":"/favicon.ico","type":"image/x-icon","sizes":"256x256"}],["$","meta","5",{"name":"next-size-adjust"}]] b:I[6180,["326","static/chunks/326-ead410bae2047633.js","986","static/chunks/986-f27c5a2c4d841870.js","42","static/chunks/app/%5Bslug%5D/page-419f452b4066bb25.js"],""] d:I[9703,["326","static/chunks/326-ead410bae2047633.js","986","static/chunks/986-f27c5a2c4d841870.js","42","static/chunks/app/%5Bslug%5D/page-419f452b4066bb25.js"],""] c:T995d,/*@jsxRuntime automatic @jsxImportSource react*/ const {Fragment: _Fragment, jsx: _jsx, jsxs: _jsxs} = arguments[0]; const {useMDXComponents: _provideComponents} = arguments[0]; function _createMdxContent(props) { const _components = Object.assign({ h3: "h3", p: "p", a: "a", br: "br", img: "img", strong: "strong", span: "span", math: "math", semantics: "semantics", mrow: "mrow", msub: "msub", mi: "mi", annotation: "annotation", div: "div", mo: "mo", mfrac: "mfrac", msup: "msup", mn: "mn", munder: "munder" }, _provideComponents(), props.components); return _jsxs(_Fragment, { children: [_jsx(_components.h3, { children: "word2vecとは" }), "\n", _jsxs(_components.p, { children: ["word2vecとは、ニューラルネットワークを用いた単語の分散表現の一種であり、単語の類似度の算出や、単語の足し算ができる。有名なのは、「王様」-「男」+「女」=「王女」を計算で算出できるという例である。具体的な例が見たい方は、", _jsx(_components.a, { href: "./blog19.html", children: "次のブログ" }), "の下の方の「SGNSの結果を見よう」を参考にしていただきたい。", _jsx(_components.br, {}), "\n", "近年の自然言語処理の中で、word2vecは簡単に実装でき、結果が直感的にわかりやすいため、多用されている。しかし、実際中身はどうであるかはちゃんとは理解できていなかったので、今更ではあるがここにまとめる。"] }), "\n", _jsx(_components.h3, { children: "Skip-Gram" }), "\n", _jsx(_components.p, { children: "word2vecには、CBOWとSkip-Gramの2種類が存在するが、ここでは精度が高いと言われているSkip-Gramを解説する。" }), "\n", _jsx(_components.p, { children: "Skip-Gramはある単語が与えられたときに、周辺単語が何であるかを予測するタスクをニューラルネットワークで解かせ、その中間層を単語のベクトルとして取得する。以下では、中間層は200次元とする。" }), "\n", _jsx(_components.p, { children: _jsx(_components.img, { src: "/images/blog18/w2v1.png", alt: "w2v1", title: "w2v1" }) }), "\n", _jsx(_components.p, { children: _jsx(_components.img, { src: "/images/blog18/w2v3.png", alt: "w2v3", title: "w2v3" }) }), "\n", _jsxs(_components.p, { children: ["単語ベクトルはone-hotなので、中間層のベクトルはInputからの重み行列の該当単語の行成分をそのまま取ってきているだけである。この層を", _jsx(_components.strong, { children: "Embedding Layer" }), "という。このようにして学習した中間層を取得し、単語の分散表現を得ている。"] }), "\n", _jsxs(_components.p, { children: ["【追記】", _jsx(_components.br, {}), "\n", "言葉だとわかりづらいと思うので、Embedding Layerの説明を追加。one-hotの計算は結局重み行列の行成分を取り出しているだけ。"] }), "\n", _jsx(_components.p, { children: _jsx(_components.img, { src: "/images/blog18/w2v4.png", alt: "w2v4", title: "w2v4" }) }), "\n", _jsx(_components.h3, { children: "Skip-Gram with Negative Sampling(SGNS)" }), "\n", _jsx(_components.p, { children: "通常のSkip-Gramでは、単語数の多値分類になるので、単語数が増えれば0に近づける学習が非常に多く、効率が悪い(例えば、周りの10単語を学習するにしても1となるのはその10単語だけで、それ以外の単語は全て0として学習される)。そこで、周辺単語以外の単語をサンプリングして、二値分類にしてしまおうというのがSGNSである。" }), "\n", _jsx(_components.p, { children: _jsx(_components.img, { src: "/images/blog18/w2v2.png", alt: "w2v2", title: "w2v2" }) }), "\n", _jsxs(_components.p, { children: ["周辺単語以外の単語のサンプリング方法は、単語頻度によって重みをつける。ただし、そのまま頻度を使用すると頻出しない単語がほとんど出てこないため、単語の個数に3/4乗するとよいらしい。つまり、それぞれの単語", _jsx(_components.span, { className: "math math-inline", children: _jsxs(_components.span, { className: "katex", children: [_jsx(_components.span, { className: "katex-mathml", children: _jsx(_components.math, { xmlns: "http://www.w3.org/1998/Math/MathML", children: _jsxs(_components.semantics, { children: [_jsx(_components.mrow, { children: _jsxs(_components.msub, { children: [_jsx(_components.mi, { children: "w" }), _jsx(_components.mi, { children: "i" })] }) }), _jsx(_components.annotation, { encoding: "application/x-tex", children: "w_i" })] }) }) }), _jsx(_components.span, { className: "katex-html", "aria-hidden": "true", children: _jsxs(_components.span, { className: "base", children: [_jsx(_components.span, { className: "strut", style: { height: "0.5806em", verticalAlign: "-0.15em" } }), _jsxs(_components.span, { className: "mord", children: [_jsx(_components.span, { className: "mord mathnormal", style: { marginRight: "0.02691em" }, children: "w" }), _jsx(_components.span, { className: "msupsub", children: _jsxs(_components.span, { className: "vlist-t vlist-t2", children: [_jsxs(_components.span, { className: "vlist-r", children: [_jsx(_components.span, { className: "vlist", style: { height: "0.3117em" }, children: _jsxs(_components.span, { style: { top: "-2.55em", marginLeft: "-0.0269em", marginRight: "0.05em" }, children: [_jsx(_components.span, { className: "pstrut", style: { height: "2.7em" } }), _jsx(_components.span, { className: "sizing reset-size6 size3 mtight", children: _jsx(_components.span, { className: "mord mathnormal mtight", children: "i" }) })] }) }), _jsx(_components.span, { className: "vlist-s", children: "​" })] }), _jsx(_components.span, { className: "vlist-r", children: _jsx(_components.span, { className: "vlist", style: { height: "0.15em" }, children: _jsx(_components.span, {}) }) })] }) })] })] }) })] }) }), "が選ばれる確率は次の式になる。"] }), "\n", _jsx(_components.div, { className: "math math-display", children: _jsx(_components.span, { className: "katex-display", children: _jsxs(_components.span, { className: "katex", children: [_jsx(_components.span, { className: "katex-mathml", children: _jsx(_components.math, { xmlns: "http://www.w3.org/1998/Math/MathML", display: "block", children: _jsxs(_components.semantics, { children: [_jsxs(_components.mrow, { children: [_jsx(_components.mi, { children: "P" }), _jsx(_components.mo, { stretchy: "false", children: "(" }), _jsxs(_components.msub, { children: [_jsx(_components.mi, { children: "w" }), _jsx(_components.mi, { children: "i" })] }), _jsx(_components.mo, { stretchy: "false", children: ")" }), _jsx(_components.mo, { children: "=" }), _jsxs(_components.mfrac, { children: [_jsxs(_components.mrow, { children: [_jsx(_components.mi, { mathvariant: "normal", children: "∣" }), _jsxs(_components.msub, { children: [_jsx(_components.mi, { children: "w" }), _jsx(_components.mi, { children: "i" })] }), _jsxs(_components.msup, { children: [_jsx(_components.mi, { mathvariant: "normal", children: "∣" }), _jsxs(_components.mrow, { children: [_jsx(_components.mn, { children: "3" }), _jsx(_components.mi, { mathvariant: "normal", children: "/" }), _jsx(_components.mn, { children: "4" })] })] })] }), _jsxs(_components.mrow, { children: [_jsxs(_components.munder, { children: [_jsx(_components.mo, { children: "∑" }), _jsxs(_components.msub, { children: [_jsx(_components.mi, { children: "w" }), _jsx(_components.mi, { children: "j" })] })] }), _jsx(_components.mi, { mathvariant: "normal", children: "∣" }), _jsxs(_components.msub, { children: [_jsx(_components.mi, { children: "w" }), _jsx(_components.mi, { children: "j" })] }), _jsxs(_components.msup, { children: [_jsx(_components.mi, { mathvariant: "normal", children: "∣" }), _jsxs(_components.mrow, { children: [_jsx(_components.mn, { children: "3" }), _jsx(_components.mi, { mathvariant: "normal", children: "/" }), _jsx(_components.mn, { children: "4" })] })] })] })] })] }), _jsx(_components.annotation, { encoding: "application/x-tex", children: " P(w_i)=\\frac{|w_i|^{3/4}}{\\sum_{w_j}|w_j|^{3/4}} " })] }) }) }), _jsxs(_components.span, { className: "katex-html", "aria-hidden": "true", children: [_jsxs(_components.span, { className: "base", children: [_jsx(_components.span, { className: "strut", style: { height: "1em", verticalAlign: "-0.25em" } }), _jsx(_components.span, { className: "mord mathnormal", style: { marginRight: "0.13889em" }, children: "P" }), _jsx(_components.span, { className: "mopen", children: "(" }), _jsxs(_components.span, { className: "mord", children: [_jsx(_components.span, { className: "mord mathnormal", style: { marginRight: "0.02691em" }, children: "w" }), _jsx(_components.span, { className: "msupsub", children: _jsxs(_components.span, { className: "vlist-t vlist-t2", children: [_jsxs(_components.span, { className: "vlist-r", children: [_jsx(_components.span, { className: "vlist", style: { height: "0.3117em" }, children: _jsxs(_components.span, { style: { top: "-2.55em", marginLeft: "-0.0269em", marginRight: "0.05em" }, children: [_jsx(_components.span, { className: "pstrut", style: { height: "2.7em" } }), _jsx(_components.span, { className: "sizing reset-size6 size3 mtight", children: _jsx(_components.span, { className: "mord mathnormal mtight", children: "i" }) })] }) }), _jsx(_components.span, { className: "vlist-s", children: "​" })] }), _jsx(_components.span, { className: "vlist-r", children: _jsx(_components.span, { className: "vlist", style: { height: "0.15em" }, children: _jsx(_components.span, {}) }) })] }) })] }), _jsx(_components.span, { className: "mclose", children: ")" }), _jsx(_components.span, { className: "mspace", style: { marginRight: "0.2778em" } }), _jsx(_components.span, { className: "mrel", children: "=" }), _jsx(_components.span, { className: "mspace", style: { marginRight: "0.2778em" } })] }), _jsxs(_components.span, { className: "base", children: [_jsx(_components.span, { className: "strut", style: { height: "2.766em", verticalAlign: "-1.201em" } }), _jsxs(_components.span, { className: "mord", children: [_jsx(_components.span, { className: "mopen nulldelimiter" }), _jsx(_components.span, { className: "mfrac", children: _jsxs(_components.span, { className: "vlist-t vlist-t2", children: [_jsxs(_components.span, { className: "vlist-r", children: [_jsxs(_components.span, { className: "vlist", style: { height: "1.565em" }, children: [_jsxs(_components.span, { style: { top: "-2.296em" }, children: [_jsx(_components.span, { className: "pstrut", style: { height: "3em" } }), _jsxs(_components.span, { className: "mord", children: [_jsxs(_components.span, { className: "mop", children: [_jsx(_components.span, { className: "mop op-symbol small-op", style: { position: "relative", top: "0em" }, children: "∑" }), _jsx(_components.span, { className: "msupsub", children: _jsxs(_components.span, { className: "vlist-t vlist-t2", children: [_jsxs(_components.span, { className: "vlist-r", children: [_jsx(_components.span, { className: "vlist", style: { height: "0.0017em" }, children: _jsxs(_components.span, { style: { top: "-2.4003em", marginLeft: "0em", marginRight: "0.05em" }, children: [_jsx(_components.span, { className: "pstrut", style: { height: "2.7em" } }), _jsx(_components.span, { className: "sizing reset-size6 size3 mtight", children: _jsx(_components.span, { className: "mord mtight", children: _jsxs(_components.span, { className: "mord mtight", children: [_jsx(_components.span, { className: "mord mathnormal mtight", style: { marginRight: "0.02691em" }, children: "w" }), _jsx(_components.span, { className: "msupsub", children: _jsxs(_components.span, { className: "vlist-t vlist-t2", children: [_jsxs(_components.span, { className: "vlist-r", children: [_jsx(_components.span, { className: "vlist", style: { height: "0.3281em" }, children: _jsxs(_components.span, { style: { top: "-2.357em", marginLeft: "-0.0269em", marginRight: "0.0714em" }, children: [_jsx(_components.span, { className: "pstrut", style: { height: "2.5em" } }), _jsx(_components.span, { className: "sizing reset-size3 size1 mtight", children: _jsx(_components.span, { className: "mord mathnormal mtight", style: { marginRight: "0.05724em" }, children: "j" }) })] }) }), _jsx(_components.span, { className: "vlist-s", children: "​" })] }), _jsx(_components.span, { className: "vlist-r", children: _jsx(_components.span, { className: "vlist", style: { height: "0.2819em" }, children: _jsx(_components.span, {}) }) })] }) })] }) }) })] }) }), _jsx(_components.span, { className: "vlist-s", children: "​" })] }), _jsx(_components.span, { className: "vlist-r", children: _jsx(_components.span, { className: "vlist", style: { height: "0.497em" }, children: _jsx(_components.span, {}) }) })] }) })] }), _jsx(_components.span, { className: "mspace", style: { marginRight: "0.1667em" } }), _jsx(_components.span, { className: "mord", children: "∣" }), _jsxs(_components.span, { className: "mord", children: [_jsx(_components.span, { className: "mord mathnormal", style: { marginRight: "0.02691em" }, children: "w" }), _jsx(_components.span, { className: "msupsub", children: _jsxs(_components.span, { className: "vlist-t vlist-t2", children: [_jsxs(_components.span, { className: "vlist-r", children: [_jsx(_components.span, { className: "vlist", style: { height: "0.3117em" }, children: _jsxs(_components.span, { style: { top: "-2.55em", marginLeft: "-0.0269em", marginRight: "0.05em" }, children: [_jsx(_components.span, { className: "pstrut", style: { height: "2.7em" } }), _jsx(_components.span, { className: "sizing reset-size6 size3 mtight", children: _jsx(_components.span, { className: "mord mathnormal mtight", style: { marginRight: "0.05724em" }, children: "j" }) })] }) }), _jsx(_components.span, { className: "vlist-s", children: "​" })] }), _jsx(_components.span, { className: "vlist-r", children: _jsx(_components.span, { className: "vlist", style: { height: "0.2861em" }, children: _jsx(_components.span, {}) }) })] }) })] }), _jsxs(_components.span, { className: "mord", children: [_jsx(_components.span, { className: "mord", children: "∣" }), _jsx(_components.span, { className: "msupsub", children: _jsx(_components.span, { className: "vlist-t", children: _jsx(_components.span, { className: "vlist-r", children: _jsx(_components.span, { className: "vlist", style: { height: "0.814em" }, children: _jsxs(_components.span, { style: { top: "-2.989em", marginRight: "0.05em" }, children: [_jsx(_components.span, { className: "pstrut", style: { height: "2.7em" } }), _jsx(_components.span, { className: "sizing reset-size6 size3 mtight", children: _jsx(_components.span, { className: "mord mtight", children: _jsx(_components.span, { className: "mord mtight", children: "3/4" }) }) })] }) }) }) }) })] })] })] }), _jsxs(_components.span, { style: { top: "-3.23em" }, children: [_jsx(_components.span, { className: "pstrut", style: { height: "3em" } }), _jsx(_components.span, { className: "frac-line", style: { borderBottomWidth: "0.04em" } })] }), _jsxs(_components.span, { style: { top: "-3.677em" }, children: [_jsx(_components.span, { className: "pstrut", style: { height: "3em" } }), _jsxs(_components.span, { className: "mord", children: [_jsx(_components.span, { className: "mord", children: "∣" }), _jsxs(_components.span, { className: "mord", children: [_jsx(_components.span, { className: "mord mathnormal", style: { marginRight: "0.02691em" }, children: "w" }), _jsx(_components.span, { className: "msupsub", children: _jsxs(_components.span, { className: "vlist-t vlist-t2", children: [_jsxs(_components.span, { className: "vlist-r", children: [_jsx(_components.span, { className: "vlist", style: { height: "0.3117em" }, children: _jsxs(_components.span, { style: { top: "-2.55em", marginLeft: "-0.0269em", marginRight: "0.05em" }, children: [_jsx(_components.span, { className: "pstrut", style: { height: "2.7em" } }), _jsx(_components.span, { className: "sizing reset-size6 size3 mtight", children: _jsx(_components.span, { className: "mord mathnormal mtight", children: "i" }) })] }) }), _jsx(_components.span, { className: "vlist-s", children: "​" })] }), _jsx(_components.span, { className: "vlist-r", children: _jsx(_components.span, { className: "vlist", style: { height: "0.15em" }, children: _jsx(_components.span, {}) }) })] }) })] }), _jsxs(_components.span, { className: "mord", children: [_jsx(_components.span, { className: "mord", children: "∣" }), _jsx(_components.span, { className: "msupsub", children: _jsx(_components.span, { className: "vlist-t", children: _jsx(_components.span, { className: "vlist-r", children: _jsx(_components.span, { className: "vlist", style: { height: "0.888em" }, children: _jsxs(_components.span, { style: { top: "-3.063em", marginRight: "0.05em" }, children: [_jsx(_components.span, { className: "pstrut", style: { height: "2.7em" } }), _jsx(_components.span, { className: "sizing reset-size6 size3 mtight", children: _jsx(_components.span, { className: "mord mtight", children: _jsx(_components.span, { className: "mord mtight", children: "3/4" }) }) })] }) }) }) }) })] })] })] })] }), _jsx(_components.span, { className: "vlist-s", children: "​" })] }), _jsx(_components.span, { className: "vlist-r", children: _jsx(_components.span, { className: "vlist", style: { height: "1.201em" }, children: _jsx(_components.span, {}) }) })] }) }), _jsx(_components.span, { className: "mclose nulldelimiter" })] })] })] })] }) }) }), "\n", _jsx(_components.p, { children: "これにより、通常のSkip-Gramより高速に学習することができる。" }), "\n", _jsx(_components.p, { children: "次回では、pytorchによる実装を試みる。" }), "\n", _jsx(_components.h3, { children: "参考文献" }), "\n", _jsxs(_components.p, { children: ["坪井祐太 海野裕也 鈴木潤 著 深層学習による自然言語処理", _jsx(_components.br, {}), "\n", "斎藤康毅 著 ゼロから作るDeep Learning ❷ ―自然言語処理編"] })] }); } function MDXContent(props = {}) { const {wrapper: MDXLayout} = Object.assign({}, _provideComponents(), props.components); return MDXLayout ? _jsx(MDXLayout, Object.assign({}, props, { children: _jsx(_createMdxContent, props) })) : _createMdxContent(props); } return { default: MDXContent }; a:["$","div",null,{"className":"container mx-auto px-4 py-8 max-w-7xl","children":["$","div",null,{"className":"flex flex-col md:flex-row gap-8","children":[["$","article",null,{"className":"w-full md:w-[70%] bg-white shadow-lg rounded-lg p-8","children":[["$","header",null,{"className":"mb-8 border-b pb-4","children":[["$","div",null,{"className":"flex items-center gap-2 mb-2","children":[["$","$L6",null,{"href":"/","className":"text-gray-500 hover:text-orange-500","children":"Home"}],["$","span",null,{"className":"text-gray-300","children":">"}],["$","span",null,{"className":"text-gray-500","children":"$undefined"}]]}],["$","h1",null,{"className":"text-3xl font-bold mb-4","children":"word2vec(Skip-Gram with Negative Sampling)の理論と実装1"}],["$","div",null,{"className":"text-gray-500 flex flex-wrap gap-4 items-center mb-6","children":[["$","time",null,{"className":"flex items-center gap-1 text-sm","children":[["$","svg",null,{"xmlns":"http://www.w3.org/2000/svg","height":"18px","viewBox":"0 0 24 24","width":"18px","fill":"#666666","className":"mr-1","children":[["$","path",null,{"d":"M0 0h24v24H0V0z","fill":"none"}],["$","path",null,{"d":"M19 3h-1V1h-2v2H8V1H6v2H5c-1.11 0-2 .9-2 2v14c0 1.1.89 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zm0 16H5V8h14v11zM7 10h5v5H7z"}]]}],"日付: ","2019-12-31"]}],["$","div",null,{"className":"flex flex-wrap gap-2","children":[["$","$L6","自然言語処理",{"href":"/tags/自然言語処理","className":"bg-gray-100 hover:bg-blue-100 px-2 py-1 rounded text-sm text-gray-600 hover:text-blue-600 transition-colors","children":["#","自然言語処理"]}]]}]]}]]}],["$","div",null,{"className":"prose max-w-none prose-headings:border-b prose-headings:pb-2 prose-a:text-orange-600","children":["$","$Lb",null,{"compiledSource":"$c","frontmatter":{},"scope":{}}]}],["$","div",null,{"className":"flex justify-between items-center mt-12","children":[["$","div",null,{"className":"flex-1","children":["$","$L6",null,{"href":"/blog14","className":"group flex flex-col items-start p-4 rounded-lg border border-gray-100 hover:border-orange-200 hover:bg-orange-50 transition-all","children":[["$","span",null,{"className":"text-sm text-gray-500 mb-1 group-hover:text-orange-600 flex items-center","children":[["$","svg",null,{"xmlns":"http://www.w3.org/2000/svg","className":"h-4 w-4 mr-1","fill":"none","viewBox":"0 0 24 24","stroke":"currentColor","children":["$","path",null,{"strokeLinecap":"round","strokeLinejoin":"round","strokeWidth":2,"d":"M15 19l-7-7 7-7"}]}],"Previous"]}],["$","span",null,{"className":"font-medium text-gray-800 dark:text-gray-200 line-clamp-2","children":"Pythonで文章の近さを計算しよう3(cos類似度)"}]]}]}],["$","div",null,{"className":"w-8"}],["$","div",null,{"className":"flex-1 text-right","children":["$","$L6",null,{"href":"/blog19","className":"group flex flex-col items-end p-4 rounded-lg border border-gray-100 hover:border-orange-200 hover:bg-orange-50 transition-all","children":[["$","span",null,{"className":"text-sm text-gray-500 mb-1 group-hover:text-orange-600 flex items-center","children":["Next",["$","svg",null,{"xmlns":"http://www.w3.org/2000/svg","className":"h-4 w-4 ml-1","fill":"none","viewBox":"0 0 24 24","stroke":"currentColor","children":["$","path",null,{"strokeLinecap":"round","strokeLinejoin":"round","strokeWidth":2,"d":"M9 5l7 7-7 7"}]}]]}],["$","span",null,{"className":"font-medium text-gray-800 dark:text-gray-200 line-clamp-2","children":"word2vec(Skip-Gram with Negative Sampling)の理論と実装2"}]]}]}]]}],["$","$Ld",null,{}]]}],["$","div",null,{"className":"w-full md:w-[30%]","children":"$Le"}]]}]}] 9:null f:I[9009,["326","static/chunks/326-ead410bae2047633.js","986","static/chunks/986-f27c5a2c4d841870.js","42","static/chunks/app/%5Bslug%5D/page-419f452b4066bb25.js"],""] e:["$","aside",null,{"className":"w-full flex flex-col gap-6","children":[["$","div",null,{"className":"bg-white p-6 rounded shadow-sm border","children":[["$","h3",null,{"className":"font-bold text-lg mb-4 text-[#494949] border-b pb-2","children":"プロフィール"}],["$","div",null,{"className":"flex items-center mb-4","children":[["$","$Lf",null,{}],["$","span",null,{"className":"font-bold","children":"Shingo.S"}]]}],["$","p",null,{"className":"mb-4 text-base leading-relaxed text-gray-600","children":["データサイエンティストとして働いています。仕事では主にPythonやSAS、Rを用いて分析しています。",["$","br",null,{}],["$","br",null,{}],"統計検定1級、Kaggle Expert。",["$","br",null,{}],"自然言語処理に興味があります。"]}],["$","div",null,{"className":"mt-4 flex items-center","children":["$","a",null,{"href":"https://x.com/shingo97358922","target":"_blank","rel":"noopener noreferrer","className":"flex items-center gap-2 text-gray-600 hover:text-black transition-colors","children":[["$","svg",null,{"className":"w-5 h-5","fill":"currentColor","viewBox":"0 0 24 24","aria-hidden":"true","children":["$","path",null,{"d":"M18.244 2.25h3.308l-7.227 8.26 8.502 11.24H16.17l-5.214-6.817L4.99 21.75H1.68l7.73-8.835L1.254 2.25H8.08l4.713 6.231zm-1.161 17.52h1.833L7.084 4.126H5.117z"}]}],["$","span",null,{"className":"text-sm font-medium","children":"@shingo97358922"}]]}]}]]}],["$","div",null,{"className":"bg-white p-6 rounded shadow-sm border","children":[["$","h3",null,{"className":"font-bold text-lg mb-4 text-[#494949] border-b pb-2","children":"アクセスカウンター"}],["$","div",null,{"className":"flex flex-col gap-2 text-gray-600 pl-2","children":[["$","div",null,{"className":"flex items-center gap-4","children":[["$","span",null,{"className":"w-12 text-right","children":"累計"}],["$","span",null,{"children":":"}],["$","span",null,{"className":"font-mono text-lg font-bold","children":"72320"}]]}],["$","div",null,{"className":"flex items-center gap-4","children":[["$","span",null,{"className":"w-12 text-right","children":"本日"}],["$","span",null,{"children":":"}],["$","span",null,{"className":"font-mono text-lg font-bold","children":"17"}]]}],["$","div",null,{"className":"flex items-center gap-4","children":[["$","span",null,{"className":"w-12 text-right","children":"昨日"}],["$","span",null,{"children":":"}],["$","span",null,{"className":"font-mono text-lg font-bold","children":"33"}]]}]]}]]}],["$","div",null,{"className":"bg-white p-6 rounded shadow-sm border","children":[["$","h3",null,{"className":"font-bold text-lg mb-4 text-[#494949] border-b pb-2","children":"月別アーカイブ"}],["$","ul",null,{"className":"text-base text-gray-600","children":[["$","li","2026年2月",{"className":"mb-2 border-b border-dashed border-gray-200 pb-1 last:border-none","children":["$","$L6",null,{"href":"/archives/2026-02","className":"hover:text-blue-500 transition-colors block","children":["2026年2月"," (",1,")"]}]}],["$","li","2025年2月",{"className":"mb-2 border-b border-dashed border-gray-200 pb-1 last:border-none","children":["$","$L6",null,{"href":"/archives/2025-02","className":"hover:text-blue-500 transition-colors block","children":["2025年2月"," (",1,")"]}]}],["$","li","2024年10月",{"className":"mb-2 border-b border-dashed border-gray-200 pb-1 last:border-none","children":["$","$L6",null,{"href":"/archives/2024-10","className":"hover:text-blue-500 transition-colors block","children":["2024年10月"," (",1,")"]}]}],["$","li","2024年7月",{"className":"mb-2 border-b border-dashed border-gray-200 pb-1 last:border-none","children":["$","$L6",null,{"href":"/archives/2024-07","className":"hover:text-blue-500 transition-colors block","children":["2024年7月"," (",1,")"]}]}],["$","li","2024年2月",{"className":"mb-2 border-b border-dashed border-gray-200 pb-1 last:border-none","children":["$","$L6",null,{"href":"/archives/2024-02","className":"hover:text-blue-500 transition-colors block","children":["2024年2月"," (",1,")"]}]}],["$","li","2023年6月",{"className":"mb-2 border-b border-dashed border-gray-200 pb-1 last:border-none","children":["$","$L6",null,{"href":"/archives/2023-06","className":"hover:text-blue-500 transition-colors block","children":["2023年6月"," (",1,")"]}]}],["$","li","2023年5月",{"className":"mb-2 border-b border-dashed border-gray-200 pb-1 last:border-none","children":["$","$L6",null,{"href":"/archives/2023-05","className":"hover:text-blue-500 transition-colors block","children":["2023年5月"," (",1,")"]}]}],["$","li","2023年3月",{"className":"mb-2 border-b border-dashed border-gray-200 pb-1 last:border-none","children":["$","$L6",null,{"href":"/archives/2023-03","className":"hover:text-blue-500 transition-colors block","children":["2023年3月"," (",2,")"]}]}],["$","li","2022年10月",{"className":"mb-2 border-b border-dashed border-gray-200 pb-1 last:border-none","children":["$","$L6",null,{"href":"/archives/2022-10","className":"hover:text-blue-500 transition-colors block","children":["2022年10月"," (",2,")"]}]}],["$","li","2022年9月",{"className":"mb-2 border-b border-dashed border-gray-200 pb-1 last:border-none","children":["$","$L6",null,{"href":"/archives/2022-09","className":"hover:text-blue-500 transition-colors block","children":["2022年9月"," (",2,")"]}]}],["$","li","2022年7月",{"className":"mb-2 border-b border-dashed border-gray-200 pb-1 last:border-none","children":["$","$L6",null,{"href":"/archives/2022-07","className":"hover:text-blue-500 transition-colors block","children":["2022年7月"," (",1,")"]}]}],["$","li","2022年3月",{"className":"mb-2 border-b border-dashed border-gray-200 pb-1 last:border-none","children":["$","$L6",null,{"href":"/archives/2022-03","className":"hover:text-blue-500 transition-colors block","children":["2022年3月"," (",1,")"]}]}],["$","li","2021年11月",{"className":"mb-2 border-b border-dashed border-gray-200 pb-1 last:border-none","children":["$","$L6",null,{"href":"/archives/2021-11","className":"hover:text-blue-500 transition-colors block","children":["2021年11月"," (",1,")"]}]}],["$","li","2021年10月",{"className":"mb-2 border-b border-dashed border-gray-200 pb-1 last:border-none","children":["$","$L6",null,{"href":"/archives/2021-10","className":"hover:text-blue-500 transition-colors block","children":["2021年10月"," (",2,")"]}]}],["$","li","2021年7月",{"className":"mb-2 border-b border-dashed border-gray-200 pb-1 last:border-none","children":["$","$L6",null,{"href":"/archives/2021-07","className":"hover:text-blue-500 transition-colors block","children":["2021年7月"," (",2,")"]}]}],["$","li","2021年5月",{"className":"mb-2 border-b border-dashed border-gray-200 pb-1 last:border-none","children":["$","$L6",null,{"href":"/archives/2021-05","className":"hover:text-blue-500 transition-colors block","children":["2021年5月"," (",2,")"]}]}],["$","li","2021年4月",{"className":"mb-2 border-b border-dashed border-gray-200 pb-1 last:border-none","children":["$","$L6",null,{"href":"/archives/2021-04","className":"hover:text-blue-500 transition-colors block","children":["2021年4月"," (",2,")"]}]}],["$","li","2021年2月",{"className":"mb-2 border-b border-dashed border-gray-200 pb-1 last:border-none","children":["$","$L6",null,{"href":"/archives/2021-02","className":"hover:text-blue-500 transition-colors block","children":["2021年2月"," (",1,")"]}]}],["$","li","2020年10月",{"className":"mb-2 border-b border-dashed border-gray-200 pb-1 last:border-none","children":["$","$L6",null,{"href":"/archives/2020-10","className":"hover:text-blue-500 transition-colors block","children":["2020年10月"," (",1,")"]}]}],["$","li","2020年9月",{"className":"mb-2 border-b border-dashed border-gray-200 pb-1 last:border-none","children":["$","$L6",null,{"href":"/archives/2020-09","className":"hover:text-blue-500 transition-colors block","children":["2020年9月"," (",1,")"]}]}],["$","li","2020年7月",{"className":"mb-2 border-b border-dashed border-gray-200 pb-1 last:border-none","children":["$","$L6",null,{"href":"/archives/2020-07","className":"hover:text-blue-500 transition-colors block","children":["2020年7月"," (",1,")"]}]}],["$","li","2020年6月",{"className":"mb-2 border-b border-dashed border-gray-200 pb-1 last:border-none","children":["$","$L6",null,{"href":"/archives/2020-06","className":"hover:text-blue-500 transition-colors block","children":["2020年6月"," (",1,")"]}]}],["$","li","2020年5月",{"className":"mb-2 border-b border-dashed border-gray-200 pb-1 last:border-none","children":["$","$L6",null,{"href":"/archives/2020-05","className":"hover:text-blue-500 transition-colors block","children":["2020年5月"," (",1,")"]}]}],["$","li","2020年4月",{"className":"mb-2 border-b border-dashed border-gray-200 pb-1 last:border-none","children":["$","$L6",null,{"href":"/archives/2020-04","className":"hover:text-blue-500 transition-colors block","children":["2020年4月"," (",1,")"]}]}],["$","li","2020年3月",{"className":"mb-2 border-b border-dashed border-gray-200 pb-1 last:border-none","children":["$","$L6",null,{"href":"/archives/2020-03","className":"hover:text-blue-500 transition-colors block","children":["2020年3月"," (",1,")"]}]}],["$","li","2020年2月",{"className":"mb-2 border-b border-dashed border-gray-200 pb-1 last:border-none","children":["$","$L6",null,{"href":"/archives/2020-02","className":"hover:text-blue-500 transition-colors block","children":["2020年2月"," (",1,")"]}]}],["$","li","2020年1月",{"className":"mb-2 border-b border-dashed border-gray-200 pb-1 last:border-none","children":["$","$L6",null,{"href":"/archives/2020-01","className":"hover:text-blue-500 transition-colors block","children":["2020年1月"," (",1,")"]}]}],["$","li","2019年12月",{"className":"mb-2 border-b border-dashed border-gray-200 pb-1 last:border-none","children":["$","$L6",null,{"href":"/archives/2019-12","className":"hover:text-blue-500 transition-colors block","children":["2019年12月"," (",1,")"]}]}],["$","li","2019年11月",{"className":"mb-2 border-b border-dashed border-gray-200 pb-1 last:border-none","children":["$","$L6",null,{"href":"/archives/2019-11","className":"hover:text-blue-500 transition-colors block","children":["2019年11月"," (",2,")"]}]}],["$","li","2019年10月",{"className":"mb-2 border-b border-dashed border-gray-200 pb-1 last:border-none","children":["$","$L6",null,{"href":"/archives/2019-10","className":"hover:text-blue-500 transition-colors block","children":["2019年10月"," (",2,")"]}]}],["$","li","2019年9月",{"className":"mb-2 border-b border-dashed border-gray-200 pb-1 last:border-none","children":["$","$L6",null,{"href":"/archives/2019-09","className":"hover:text-blue-500 transition-colors block","children":["2019年9月"," (",1,")"]}]}],["$","li","2019年8月",{"className":"mb-2 border-b border-dashed border-gray-200 pb-1 last:border-none","children":["$","$L6",null,{"href":"/archives/2019-08","className":"hover:text-blue-500 transition-colors block","children":["2019年8月"," (",8,")"]}]}],["$","li","2019年7月",{"className":"mb-2 border-b border-dashed border-gray-200 pb-1 last:border-none","children":["$","$L6",null,{"href":"/archives/2019-07","className":"hover:text-blue-500 transition-colors block","children":["2019年7月"," (",1,")"]}]}],["$","li","2019年6月",{"className":"mb-2 border-b border-dashed border-gray-200 pb-1 last:border-none","children":["$","$L6",null,{"href":"/archives/2019-06","className":"hover:text-blue-500 transition-colors block","children":["2019年6月"," (",2,")"]}]}]]}]]}],["$","div",null,{"className":"bg-white p-6 rounded shadow-sm border","children":[["$","h3",null,{"className":"font-bold text-lg mb-4 text-[#494949] border-b pb-2","children":"タグ一覧"}],["$","div",null,{"className":"flex flex-wrap gap-2","children":[["$","$L6","データ分析",{"href":"/tags/データ分析","className":"bg-gray-100 hover:bg-blue-500 hover:text-white rounded px-2 py-1 text-sm transition-colors duration-200 text-gray-600","children":["データ分析"," (",18,")"]}],["$","$L6","自然言語処理",{"href":"/tags/自然言語処理","className":"bg-gray-100 hover:bg-blue-500 hover:text-white rounded px-2 py-1 text-sm transition-colors duration-200 text-gray-600","children":["自然言語処理"," (",16,")"]}],["$","$L6","SAS",{"href":"/tags/SAS","className":"bg-gray-100 hover:bg-blue-500 hover:text-white rounded px-2 py-1 text-sm transition-colors duration-200 text-gray-600","children":["SAS"," (",12,")"]}],["$","$L6","Kaggle",{"href":"/tags/Kaggle","className":"bg-gray-100 hover:bg-blue-500 hover:text-white rounded px-2 py-1 text-sm transition-colors duration-200 text-gray-600","children":["Kaggle"," (",3,")"]}],["$","$L6","雑談",{"href":"/tags/雑談","className":"bg-gray-100 hover:bg-blue-500 hover:text-white rounded px-2 py-1 text-sm transition-colors duration-200 text-gray-600","children":["雑談"," (",2,")"]}]]}]]}],["$","div",null,{"className":"bg-white p-6 rounded shadow-sm border","children":[["$","h3",null,{"className":"font-bold text-lg mb-4 text-[#494949] border-b pb-2","children":"広告枠"}],["$","div",null,{"className":"flex justify-center items-center","children":[["$","a",null,{"href":"https://px.a8.net/svt/ejp?a8mat=4AXI0F+CULTTE+348+6CWQP","rel":"nofollow","target":"_blank","children":["$","img",null,{"style":{"border":0},"width":"250","height":"250","alt":"","src":"https://www25.a8.net/svt/bgt?aid=260223855777&wid=001&eno=01&mid=s00000000404001068000&mc=1"}]}],["$","img",null,{"style":{"border":0},"width":"1","height":"1","src":"https://www17.a8.net/0.gif?a8mat=4AXI0F+CULTTE+348+6CWQP","alt":""}]]}]]}]]}]