Code to run LDA algorithm on Twitter/Foursquare scraped data.
Comparison of methods based on pre-trained Word2Vec, GloVe and FastText vectors to measure the semantic similarity between sentence pairs
Document Similarity Measurement Using Doc2Vec and Gensim Library
English Corpus Text-Visualization using Word2Vec Model from Gensim. A mini project under the mentorship of Prof. Sandipan Ganguly, HIT-K.
Sarcastic sentence detector. Trained by sarcastic tweets.
Arabic Wikipedia topics model using gensim library
SEC 10-K & 10-Q Forms Summarizer POC. Forked from my contribution in the following repo :-
Classification of twitter dataset using word embedding and using different machine learning algorithms
Implemented Word2Vec model using gensim Lib.
Project for Topic Modeling using gensim Library
A virtual data-driven project adviser which aims to help programmers learn their skills of interest faster. Fueled via topic modelling and graph analytics.
related to LDA, topic modelling etc.
Classification and Auto-Tagging of Stack Exchange Questions
unsupervised NLP project that build to be used in clustering articles.
Public repository for B13logy LLC
In this project, I have used gensim and nltk libraries to extract topic from the given data.
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