Spam Classifier Using NLP. (Classification Use Case)
-
Updated
Jan 9, 2023 - Jupyter Notebook
Spam Classifier Using NLP. (Classification Use Case)
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.
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.
Add a description, image, and links to the lemmantization topic page so that developers can more easily learn about it.
To associate your repository with the lemmantization topic, visit your repo's landing page and select "manage topics."