visit python crash file if you dont have good knowledge about python
NLP1 = pandas, numpy, regexpression
NLP2 = tokenizer, stopwords, stemming, lemmas
NLP3 = bag of words, TF-IDF
NLP4 = Ngram for charcaters and words
NLP5 = N-gram Modelling , word modellinf, character modelling
NLP6 = wordnet, word negation ,finding synonyms of words, antonyms of words
Text classifier = x.pickle, y.pickle, classifier.pickle, tfidf.pickle fiels are pickle file made in text classificatio.ipynb file
sentimental analysis = Twitter sentimental analysis using pickel files i.e. classifeir.pickel and tfidf.pickel, fetchinglive data from twiter and checking whether it is positive or negative data. also used tweepy.api
summarize any text for webpage of praragraph tag