Function reference • gensimr

API Download and use pre.trained models or datasets.
`api_info()` `api_load()`	API
Data Helper functions and dataset for demonstration purposes.
`authors`	Authors
`corpus`	Corpus
`common_texts()` `common_corpus()` `common_dictionary()`	Preprocessed Text
`datapath()`	Data
Dependencies Install python dependencies
`install_dependencies()` `install_gensim()` `install_sklearn()` `install_ldavis()`	Install Dependencies
Corpora Transform and clean corpora.
`doc2bow()`	Create a dictionary
`auth2doc()`	Author Document Preprocess
`corpora_dictionary()`	Create a dictionary
`serialize_mmcorpus()` `as_serialized_mmcorpus()` `delete_mmcorpus()`	Serialise Matrix Market Corpus
`read_serialized_mmcorpus()`	Read Serialized Matrix Market
`similarity()`	Similarity
`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
`split_alphanum()`	Split Alphanumerics
`porter_stemmer()`	Porter Stemmer
`prepare_documents()`	Prepare Documents
`preprocess()`	Preprocess text
`remove_stopwords()`	Remove stopwords
`stem_text()`	Stem
`text8corpus()`	Line Sentence
`filter_rare()`	Filter Rarely
Models Available models and utilities.
`wrap()`	Wrap
`get_author_topics()`	Get Author topics
`map_model()` `get_perplexity_data()`	Map Models
`model_at()` `load_at()`	Author-topic Model
`model_fasttext()` `load_fasttext()`	Fasttext Model
`model_hdp()` `load_hdp()`	Hierarchical Dirichlet Process Model
`model_lda()` `load_lda()` `model_ldamc()` `load_ldamc()`	Latent Dirichlet Allocation Model
`model_logentropy()` `load_logentropy()`	Log Entropy Model
`model_lsi()` `load_lsi()`	Latent Semantic Indexing Model
`model_norm()` `load_norm()`	Normalization Model
`model_poincare()`	PoinCare Model
`model_rp()` `load_rp()`	Random Projections Model
`model_tfidf()` `load_tfidf()`	Tf-idf Model
`model_word2vec()` `load_word2vec()`	Word2Vec Model
`model_coherence()`	Topic Coherence
`get_docs_topics()`	Get Document Topics
Visualisation Functions to visualise model outputs, embeddding, etc.
`prepare_ldavis()` `show_ldavis()` `plot_ldavis()` `ldavis_as_html()`	Visualise Latent Dirichlet Allocation Models
`save_ldavis_html()` `save_ldavis_json()`	Save Visualisation
Sklearn Scikit-learn API.
`install_dependencies()` `install_gensim()` `install_sklearn()` `install_ldavis()`	Install Dependencies
`sklearn_at()`	Author Topic Model
`sklearn_doc2bow()` `sklearn_text2bow()`	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
Document Similarity Document similarity-related functions.
`similarity_matrix()`	Similarity Matrix
`get_similarity()`	Get Similarity
`similarity()`	Similarity
Summarize Text summarization-related functions.
`summarize()`	summarize
`keywords()`	Keywords
`get_bm25_weights()`	BM 25
`phrases()` `phraser()`	Phrases

Reference

API

Data

Dependencies

Corpora

Models

Visualisation

Sklearn

Document Similarity

Summarize

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