#自然语言处理#Topic Modelling for Humans
翻译 - 人类主题建模
Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more
Data repository for pretrained NLP models and NLP corpora.
中文詞向量訓練教學
word2vec uisng keras inside gensim
[NO LONGER MAINTAINED AS OPEN SOURCE - USE SCALETEXT.COM INSTEAD]
Converting GloVe vectors into word2vec format for easy usage with Gensim
Topic modeling with gensim and LDA
基于python gensim 库的LDA算法 对中文进行文本分析,很难得,网上都是英文的,基本上没有中文的,需要安装jieba分词进行分词,然后去除停用词最后才能使用LDA
Gensim,pyLDAvis
gensim-word2vec+svm文本情感分析
A scalable Gensim implementation of "Learning Role-based Graph Embeddings" (IJCAI 2018).
基于gensim模块计算句子相似度
gensim-fast2vec改造、灵活使用大规模外部词向量(具备OOV查询能力)
Text classification with Reuters-21578 datasets using Gensim Word2Vec and Keras LSTM
中文文本挖掘lda模型,gensim+jieba库
基于gensim模块的中文句子相似度计算
mallet lda(java) with python gensim wrapper and visualization with pyLDAvis
Toolkit to obtain and preprocess German text corpora, train models and evaluate them with generated testsets. Built with Gensim and Tensorflow.
Tutorial for Sentiment Analysis using Doc2Vec in gensim (or "getting 87% accuracy in sentiment analysis in under 100 lines of code")
用gensim训练LDA模型,进行新闻文本主题分析
alpine-based dockerfile with python, openblas, numpy (linked against openblas), gensim, spacy, nltk and pattern.
Docker image for modern natural language processing using python 2 with spacy, gensim and pyLDAvis