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asis012/NLP

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Python_Crash_Course

visit python crash file if you dont have good knowledge about python

NLP1

NLP1 = pandas, numpy, regexpression

NLP2

NLP2 = tokenizer, stopwords, stemming, lemmas

NLP3

NLP3 = bag of words, TF-IDF

NLP4

NLP4 = Ngram for charcaters and words

NLP5

NLP5 = N-gram Modelling , word modellinf, character modelling

NLP6

NLP6 = wordnet, word negation ,finding synonyms of words, antonyms of words

Text Classifier

Text classifier = x.pickle, y.pickle, classifier.pickle, tfidf.pickle fiels are pickle file made in text classificatio.ipynb file

Sentimental Analysis

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

Text Summariztion

summarize any text for webpage of praragraph tag

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