文件名称：Scattertext-PyData：2017年西雅图PyData笔记本在Scattertext上发表演讲
文件大小：18.32MB
文件格式：ZIP
更新时间：2024-02-24 12:23:18
visualization nlp natural-language-processing word2vec pydata
Scattertext-PyData：2017年西雅图PyData笔记本在Scattertext上发表演讲
【文件预览】：
Scattertext-PyData-master
----PyData-Language-of-Novice-Talks.ipynb(11KB)
----pydata_talks.csv(12.71MB)
----output()
--------Conventions2012ScattertextRankData.html(1.34MB)
--------SFSvsLog.html(1.34MB)
--------Conventions2012GenderAndPartyCorner.html(1.24MB)
--------Pydata2017vs2016.html(1.49MB)
--------EmpathGender.html(1.1MB)
--------SFS_UnifPrior.html(1.35MB)
--------PydataAdvancedVsRest.html(1.23MB)
--------Conventions2012GenderAndParty.html(1.25MB)
--------Conventions2012ScattertextRankDataJitter.html(1.34MB)
--------L2vsLog.html(1.34MB)
--------CornervsLog.html(1.34MB)
--------Conventions2012ScattertextLog.html(1.34MB)
--------Conventions2012ScattertextScale.html(1.35MB)
--------demo_similarity_gensim.html(1.5MB)
--------LOPriorvsLog.html(1.34MB)
--------Conventions2012Gender.html(1.25MB)
--------Pydata2016vs2017.html(295KB)
--------demo_similarity.html(1.52MB)
--------PydataNoviceVsNotNovice.html(1.23MB)
--------Conventions2012ScattertextRankDefault.html(1.38MB)
----PyData-Scattertext-Part-1.ipynb(51KB)
----PyData-Scattertext-Part-2.ipynb(31KB)
----README.md(2KB)
----~$PyData2017Kessler.pptx(165B)
----img()
--------genderandparty.png(546KB)
--------gensim_similarity.png(687KB)
----PyData-Scattertext-Part-3.ipynb(9KB)
----PyData2017Kessler.pptx(20.9MB)