https://github.com/carlossanabriam/topics_and_summary

Package for identifying the topics present in a collection of text documents and create summaries of texts
https://github.com/carlossanabriam/topics_and_summary

lda lsa machine-learning nlp summarization textrank topics-modeling unsupervised-learning word-embeddings

Last synced: 2 days ago
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Package for identifying the topics present in a collection of text documents and create summaries of texts

• Host: GitHub
• URL: https://github.com/carlossanabriam/topics_and_summary
• Owner: CarlosSanabriaM
• License: mit
• Created: 2019-08-04T15:03:46.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2022-06-22T01:27:55.000Z (over 2 years ago)
• Last Synced: 2024-02-15T22:34:48.505Z (12 months ago)
• Topics: lda, lsa, machine-learning, nlp, summarization, textrank, topics-modeling, unsupervised-learning, word-embeddings
• Language: Python
• Size: 69.4 MB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 4

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