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GitHub / CarlosSanabriaM / topics_and_summary

Package for identifying the topics present in a collection of text documents and create summaries of texts

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/CarlosSanabriaM%2Ftopics_and_summary

Stars: 0
Forks: 0
Open Issues: 4

License: mit
Language: Python
Repo Size: 69.4 MB
Dependencies: 44

Created: almost 5 years ago
Updated: 3 months ago
Last pushed: almost 2 years ago
Last synced: 3 months ago

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

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Readme

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Dependencies

development-requirements.txt pypi

bokeh ==1.0.4 development
dill ==0.2.9 development
gensim ==3.4.0 development
matplotlib ==3.0.2 development
networkx ==2.2 development
nltk ==3.3 development
numpy ==1.15.4 development
pandas ==0.24.1 development
pipreqs ==0.4.9 development
scikit-learn ==0.20.3 development
seaborn ==0.9.0 development
sphinx ==2.0.1 development
texttable ==1.6.1 development
tqdm ==4.31.1 development
typing ==3.6.4 development
wordcloud ==1.5.0 development

requirements.txt pypi

bokeh ==1.0.4
dill ==0.2.9
gensim ==3.4.0
matplotlib ==3.0.2
networkx ==2.2
nltk ==3.3
numpy ==1.15.4
pandas ==0.24.1
scikit-learn ==0.20.3
seaborn ==0.9.0
texttable ==1.6.1
tqdm ==4.31.1
typing ==3.6.4
wordcloud ==1.5.0

setup.py pypi

bokeh ==1.0.4
dill ==0.2.9
gensim ==3.4.0
matplotlib ==3.0.2
networkx ==2.2
nltk ==3.3
numpy ==1.15.4
pandas ==0.24.1
scikit_learn ==0.20.3
seaborn ==0.9.0
texttable ==1.6.1
tqdm ==4.31.1
typing ==3.6.6
wordcloud ==1.5.0