Code to run LDA algorithm on Twitter/Foursquare scraped data.
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Updated
Aug 22, 2017 - Python
Code to run LDA algorithm on Twitter/Foursquare scraped data.
Sarcastic sentence detector. Trained by sarcastic tweets.
SEC 10-K & 10-Q Forms Summarizer POC. Forked from my contribution in the following repo :-
Public repository for B13logy LLC
Classification of twitter dataset using word embedding and using different machine learning algorithms
Implemented Word2Vec model using gensim Lib.
A virtual data-driven project adviser which aims to help programmers learn their skills of interest faster. Fueled via topic modelling and graph analytics.
Classification and Auto-Tagging of Stack Exchange Questions
In this project, I have used gensim and nltk libraries to extract topic from the given data.
Project for Topic Modeling using gensim Library
related to LDA, topic modelling etc.
Arabic Wikipedia topics model using gensim library
English Corpus Text-Visualization using Word2Vec Model from Gensim. A mini project under the mentorship of Prof. Sandipan Ganguly, HIT-K.
unsupervised NLP project that build to be used in clustering articles.
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
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