Statements (46)
Predicate | Object |
---|---|
gptkbp:instance_of |
gptkb:Library
|
gptkbp:bfsLayer |
3
|
gptkbp:bfsParent |
gptkb:software
|
gptkbp:application |
gptkb:physicist
gptkb:software_framework Information Retrieval Text Mining Natural Language Processing (NLP) |
gptkbp:community |
Active user community
|
gptkbp:dependency |
gptkb:tqdm
gptkb:Sci_Py gptkb:Cython gptkb:Num_Py pandas smart_open |
gptkbp:developed_by |
gptkb:Radim_Řehůřek
|
gptkbp:example |
Sentiment analysis
Text classification Language modeling Semantic search Chatbot development Analyzing customer reviews Building recommendation systems Clustering documents Feature extraction for machine learning Topic discovery in large datasets |
gptkbp:features |
Integration with other libraries
Streaming data processing Memory-efficient algorithms Support for large text corpora |
gptkbp:has_documentation |
https://radimrehurek.com/gensim/
|
https://www.w3.org/2000/01/rdf-schema#label |
Gensim
|
gptkbp:is_used_for |
topic modeling
document similarity word embedding |
gptkbp:language |
gptkb:Library
|
gptkbp:latest_version |
4.1.2
|
gptkbp:license |
gptkb:GNU_General_Public_License
|
gptkbp:platform |
Cross-platform
|
gptkbp:release_date |
gptkb:2009
|
gptkbp:repository |
https://github.com/ Ra Re-Technologies/gensim
|
gptkbp:supports |
gptkb:Word2_Vec
gptkb:Doc2_Vec gptkb:Fast_Text Latent Dirichlet Allocation (LDA) Latent Semantic Analysis (LSA) |