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Extract text content from an HTML page, process it, and extract unique words from the processed text. This notebook utilizes various text processing techniques including cleaning, normalization, tokenization, lemmatization or stemming, and stop words removal.
Basic text preprocessing operations shown in jupyter notebook. You can play with them and look what are they doing. For stemming and lemmatization there are different options, I showed only what I prefer to use. Repository contains the data to play with taken from kaggle (can also be found here on github), but for convenience I attach it here.