Educational Document Base prototype to perform queries based on similarity and dissimilarity measures of documents to which stemming, lemmantization and latent semantic indexing was applied.
Spam Classifier Using NLP. (Classification Use Case)
Python codes for analyzing textual data (Bag-of-Words, Bing Liu's Lexicon, LM Dictionary, TextBlob, Vader, TFIDF, and Ensemble Method to improve the tools. Also applying decision tree, random forest, and naive bayes classifiers to run regression analyses on the data.
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