Man pages for news-r/gensimr
Topic Modelling
| api | API |
| auth2doc | Author Document Preprocess |
| authors | Authors |
| callbacks | Callbacks |
| corpora_dictionary | Create a dictionary |
| corpus | Corpus |
| datapath | Data |
| dependencies | Install Dependencies |
| doc2bow | Create a dictionary |
| filter_rare | Filter Rarely |
| get_author_topics | Get Author topics |
| get_bm25_weights | BM 25 |
| get_documents_topics | Get Document Topics |
| get_similarity | Get Similarity |
| keywords | Keywords |
| ldavis | Visualise Latent Dirichlet Allocation Models |
| ldavis_save | Save Visualisation |
| map_coherence | Map Coherence |
| map_model | Map Models |
| mmcorpus_serialize | Serialise Matrix Market Corpus |
| model_at | Author-topic Model |
| model_fasttext | Fasttext Model |
| model_hdp | Hierarchical Dirichlet Process Model |
| model_lda | Latent Dirichlet Allocation Model |
| model_logentropy | Log Entropy Model |
| model_lsi | Latent Semantic Indexing Model |
| model_norm | Normalization Model |
| model_poincare | PoinCare Model |
| model_rp | Random Projections Model |
| model_tfidf | Tf-idf Model |
| model_word2vec | Word2Vec Model |
| phrases | Phrases |
| pipe | Pipe operator |
| porter_stemmer | Porter Stemmer |
| prepare_documents | Prepare Documents |
| preprocess | Preprocess text |
| read_serialized_mmcorpus | Read Serialized Matrix Market |
| remove_stopwords | Remove stopwords |
| similarity | Similarity |
| similarity_matrix | Similarity Matrix |
| sklearn_at | Author Topic Model |
| sklearn_doc2bow | Word ID Mapper |
| sklearn_doc2vec | Doc2vec Model |
| sklearn_hdp | Hierarchical Dirichlet Process Model |
| sklearn_lda | Latent Dirichlet Allocation Model |
| sklearn_logistic | Scikit-learn Logistic Regression |
| sklearn_lsi | Latent Semantic Indexing Model |
| sklearn_pipeline | Scikit-learn Pipeline |
| sklearn_pt | Phrase (Colocation) Detection |
| sklearn_rp | Random Project Model |
| sklearn_tfidf | Tf-idf Model |
| sklearn_word2vec | Word2vec Model |
| split_alphanum | Split Alphanumerics |
| stem_text | Stem |
| strip_multiple_spaces | Strip Multiple space |
| strip_non_alphanum | Strip Non Alphanumerics |
| strip_numeric | Strip Numerics |
| strip_punctuation | Strip Punctuation |
| strip_short | Strip Short Words |
| strip_tags | Strip Tags |
| summarize | summarize |
| text8corpus | Line Sentence |
| topics | Topic Coherence |
| utils | Preprocessed Text |
| wrap | Wrap |
