https://github.com/ksdkamesh99/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
https://github.com/ksdkamesh99/phony-news-classifier

bag-of-words deep-learning fake-news lemmatization lstm-neural-networks multinomial-naive-bayes naive-bayes-classifier natural-language-processing python3 stemming tfidfvectorizer

Last synced: 3 months ago
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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

• Host: GitHub
• URL: https://github.com/ksdkamesh99/phony-news-classifier
• Owner: ksdkamesh99
• License: mit
• Created: 2020-05-27T13:44:57.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2020-05-27T20:12:11.000Z (over 4 years ago)
• Last Synced: 2024-10-23T03:21:04.581Z (3 months ago)
• Topics: bag-of-words, deep-learning, fake-news, lemmatization, lstm-neural-networks, multinomial-naive-bayes, naive-bayes-classifier, natural-language-processing, python3, stemming, tfidfvectorizer
• Language: Jupyter Notebook
• Homepage:
• Size: 40.2 MB
• Stars: 11
• Watchers: 2
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# 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](https://www.kaggle.com/liberoliber/onion-notonion-datasets/download).

## 📧Contact:-

For any kind of suggesstions/ help in models code Please mail me at [email protected].

## 📜 LICENSE

[MIT](https://github.com/ksdkamesh99/Phony-News-Classifier/blob/master/LICENSE)