Phony-News-Classifier

📌 Introduction:-

Phony News Classifier is a repository which contains analysis of a Natural Language Processing application i.e fake news classifier with the help of various text preprocessing strategies like Bag of words,TFIDF Vectorizer,Lemmatization,Stemming with Naive bayes and other deep learning RNN (LSTM) and maintaining the detailed accuracy below.

✔Accuracy With Multinomial Naive Bayes✔:-

Text Preprocessing Type	Multinomial NB
TFIDF Vectorizer + PorterStemmer	92.98%
CountVectorizer + PorterStemmer	93.18%
CountVectorizer + WordnetLemmatizer	93.22%
TFIDF Vectorizer + WordnetLemmatizer	93.12%

🏁 Datasets Used:-

• The dataset used is Fakenews Classification Dataset published by Jair Ribeiro.This dataset is downloaded in kaggle.You can download it here.

📧Contact:-

For any kind of suggesstions/ help in models code Please mail me at ksdkamesh99@gmail.com.

📜 LICENSE

MIT