/Phony-News-Classifier

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

Primary LanguageJupyter NotebookMIT LicenseMIT

Phony-News-Classifier

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📌 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