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言語処理100本ノックをRubyでやったメモ
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himkt
August 06, 2016
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言語処理100本ノックをRubyでやったメモ
himkt
August 06, 2016
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Transcript
ݴޠॲཧ100ຊϊοΫΛRubyͰΔ ʢsciruby-jp issue #2ʣ
ࣗݾհͱͬͨ͜ͱ • B4 at ஜେֶ ʢࣗવݴޠॲཧ? ػցֶश? ʣ • ݚڀɿใநग़ʢ֬Ϟσϧʣ
• ୲ɿݴޠॲཧ100ຊϊοΫΛRubyͰղ͍ͯΈΔ • ύοέʔδϢʔβ https://github.com/himkt/nlp-100knock
ݴޠॲཧ100ຊϊοΫ • ౦େֶ סɾԬ࡚ݚ͕ެ։͍ͯ͠ΔࣗવݴޠॲཧυϦϧ • ఆ͞ΕΔݴޠPython • ୈ8ষʙୈ10ষ͕Պֶܭࢉతʁʢػցֶशʣͳ ʢը૾: http://www.cl.ecei.tohoku.ac.jp/nlp100/ʣ
RubyͰݴޠॲཧ100ຊϊοΫ • GitHubͳͲͰݕࡧ͢Δͱ… • RubyͰΖ͏ͱ͍ͯ͠Δਓ͍Δ • ͕ɼ4ষ͘Β͍·ͰͰߋ৽్͕ઈ͍͑ͯΔ ɹ • ఆݴޠɿPython
• RubyͰͰ͖ΔʁʢͰ͖ΔͩΖ͏ʣ -> ࣮ࡍʹղ͍ͯΈΔ ɹͰ͖ͳ͍͜ͱ͕ز͔ͭ͋Δ͜ͱ͕Θ͔ͬͨ
ओͳτϐοΫ • 72ɿૉੑநग़ • 73ɿϩδεςΟοΫճؼ • 78ɿΫϩεόϦσʔγϣϯ • 85ɿओੳ •
90ɿword2vec • 97ɿk-means • 98ɿWard๏ɿͰ͖ͳ͔ͬͨ… • 99ɿt-SNE
ओͳτϐοΫ • 72ɿૉੑநग़ • 73ɿϩδεςΟοΫճؼ • 78ɿΫϩεόϦσʔγϣϯ • 85ɿओੳ •
90ɿword2vec • 97ɿk-means • 98ɿWard๏ • 99ɿt-SNE 6
ૉੑநग़ • ࣗવݴޠॲཧʹ͓͍ͯૉੑʹͳΔͷɿ୯ޠʢଟ͘ͷ߹ʣ • ग़ݱ͢Δ୯ޠͷͱͯଟ͍ʢສ - ेສʣ • ͯ͢ͷ୯ޠΛૉੑͱͯ͠͏ͱֶश͕͏·͍͔͘ͳ͍ •
ޮతͳૉੑநग़͕ඞཁ • Python:scikit-learn::feature_extraction • Ruby:ܾఆ൛తͳϥΠϒϥϦଘࡏ͠ͳ͍ • ࠓճ͓खʢhttps://github.com/himkt/rblearnʣ
ओͳτϐοΫ • 72ɿૉੑநग़ • 73ɿϩδεςΟοΫճؼ • 78ɿΫϩεόϦσʔγϣϯ • 85ɿओੳ •
90ɿword2vec • 97ɿk-means • 98ɿWard๏ • 99ɿt-SNE 8
ϩδεςΟοΫճؼ • ϥΠϒϥϦ • Statsample-glmɿDaruͱҰॹʹ͏͜ͱ͕ఆ͞Ε͍ͯΔʁ • Liblinear-RubyɿNMatrix, NArrayʹରԠ͍ͯ͠ͳ͍ • σʔλϑϨʔϜɿΧϥϜ͕ଟ͍σʔλΛѻ͏ͷʹ͔ͳ͍ʁ*
• ࢥ͍ࠐΈ͔Εͳ͍ʢࠓճͷσʔλ10000 * 10000͘Β͍ʣ • NArrayͰ࣮ͨ͠ • ඞཁͳͷɿίετؔͱޯ • ߦྻͷੵͰදݱՄೳʢNArrayͷػೳ͚ͩͰ࣮Մʣ
ओͳτϐοΫ • 72ɿૉੑநग़ • 73ɿϩδεςΟοΫճؼ • 78ɿΫϩεόϦσʔγϣϯ • 85ɿओੳ •
90ɿword2vec • 97ɿk-means • 98ɿWard๏ • 99ɿt-SNE
ΫϩεόϦσʔγϣϯ • σʔληοτΛׂͯ͠ෳճֶशΛߦ͏ ͜ͱͰ༧ଌϞσϧͷ൚ԽੑೳΛௐΔ • Python: sklearn::cross_validation • ྻͷΠϯσοΫεΛฦ͍ͯ͠Δ͚ͩ •
Integer array indexing (masking ?) • NArrayʹ͋Δ NMatrixʹͳ͍ ը૾ɿhttps://pydata.tokyo/ipynb/tutorial-1/ml.html ࢀߟɿhttp://watanabe-www.math.dis.titech.ac.jp/users/swatanab/cross-val.html
ΫϩεόϦσʔγϣϯ • Ruby: ݱঢ়ͰϥΠϒϥϦଆͰ࣮͞Ε͍ͯͨΓ͢Δ • e.g. Liblinear.cross_validation (liblinear-ruby) • Python:
scikit-learn::cross_validation • ϞσϧʢLogistic Regressionʣ܇࿅σʔλΛड͚औΓֶश͢Δ͚ͩ ΫϩεόϦσʔγϣϯ͢ΔϥΠϒϥϦΛ࡞ͬͨʢhttps://github.com/himkt/rblearnʣ ΫϩεόϦσʔγϣϯͱ ֶशͷϩδοΫ͕
ओͳτϐοΫ • 72ɿૉੑநग़ • 73ɿϩδεςΟοΫճؼ • 78ɿΫϩεόϦσʔγϣϯ • 85ɿओੳ •
90ɿword2vec • 97ɿk-means • 98ɿWard๏ • 99ɿt-SNE
ओੳ
ओੳ
ओੳ • ϥΠϒϥϦ • Ruby: statsample • σʔλ͕Ͱ͔͍ͷͰɼૄߦྻͷ··ѻ͏ඞཁ͕͋Δ • DataFrameΛͭ͘Δඞཁ͕͋Δʁ
• ݻ༗ɾݻ༗ϕΫτϧܭࢉͱͯ͠ղ͘ • NArray, NMatrixʢs.t. ૄߦྻʣ • NArray: ૄߦྻ·ͩରԠ͍ͯ͠ͳ͍ • NMatrix: ૄߦྻͷݻ༗ɾݻ༗ϕΫτϧܭࢉະ࣮ -> อཹ
ओͳτϐοΫ • 72ɿૉੑநग़ • 73ɿϩδεςΟοΫճؼ • 78ɿΫϩεόϦσʔγϣϯ • 85ɿओੳ •
90ɿword2vec • 97ɿk-means • 98ɿWard๏ • 99ɿt-SNE
word2vec • ϥΠϒϥϦ • Python: gensim • Ruby: ແ͍ʢଟʣ •
NArrayͰ࣮ • word2vecϞσϧΛ܇࿅ͨ͠ޙʹ୯ޠϕΫτϧ͕ಘΒΕΕྑ͍ • ࣮ࡍʹඞཁͳͷϕΫτϧಉ࢜ͷίαΠϯྨࣅͷܭࢉ͚ͩ ʢNArray NMatrixͷػೳͰॆʣ • NArrayͷ΄͏͕͔ͬͨͷͰNArrayΛͬͨ
ओͳτϐοΫ • 72ɿૉੑநग़ • 73ɿϩδεςΟοΫճؼ • 78ɿΫϩεόϦσʔγϣϯ • 85ɿओੳ •
90ɿword2vec • 97ɿk-means • 98ɿWard๏ • 99ɿt-SNE
k-means t-SNE • ϥΠϒϥϦ • Python: sklearn.clustering • Ruby: AI4Rʢhttp://ai4r.org/ʣ
• NArray NMatrixະରԠ • ߋ৽ࢭ·ͬͯΔʁ • NArray͚ͩͰ࣮ͨ͠ʢNArrayͷ΄͏͕͍ʣ • ಛʹ٧·Δ͜ͱͳ࣮͘Ͱ͖Δ
·ͱΊ • ݴޠॲཧ100ຊϊοΫΛղ͍ͯΈͨ • ͍͍ͩͨNArray, NMatrix͕͋Εղ͚Δ • େنͳσʔλͷओੳͱ͔Ͱ͖ͳ͍ • scikit-learnΈ͍ͨͳϥΠϒϥϦ͕ඞཁ͔ʁ
• աڈϩάΛݟͨʢࡢʣ • ༗Εخ͍͠ʢRubyࣗવݴޠॲཧʹ͍͍ͯΔͱࢥ͏ʣ • ϥΠϒϥϦ: NArrayͳΓNMatrixͳΓDaruͷVector?ͳΓ ͳΜΒ͔ͷܾΊΒΕͨσʔλߏ͕౷Ұతʹ͑ͯ΄͍͠ • ΫϩεόϦσʔγϣϯͱ͔ૉੑநग़ͱ͔
΄͍͠ • NArray: ૄߦྻରԠ • NMatrix: linalgͷૄߦྻରԠ • NArray, NMatrix:
ΦϒδΣΫτͷγϦΞϥΠζ • NMatrix: Integer Array indexing • Feature Extractor, Feature Vectorizer