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Text extraction from an example research paper and text modelling the paper contents with similar topics. This helps the reader to narrow down the paper contents. NLTK , spacy , gensim libraries are used for text cleaning and pre-processing. Visualisation of topics are done using python's pyLDAvis (https://github.com/bmabey/pyLDAvis) library.
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README.md
corpus.pkl
data.txt
paper_corpus.pkl
paper_dictionary.gensim
paper_model5.gensim
paper_model5.gensim.expElogbeta.npy
paper_model5.gensim.id2word
paper_model5.gensim.state
source_notebook.ipynb
topic_model_viz.html

README.md

NLP-Text-Modelling-

Text extraction from an example research paper and text modelling the paper contents with similar topics. This helps the reader to narrow down the paper contents. Visualisation of topics are done using python's pyLDAvis (https://github.com/bmabey/pyLDAvis) library.

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