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43 changes: 36 additions & 7 deletions README.md
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@@ -1,15 +1,22 @@
# **NEWS CLASSIFIER**

[![forthebadge made-with-python](http://ForTheBadge.com/images/badges/made-with-python.svg)](https://www.python.org/)
[![forthebadge](https://forthebadge.com/images/badges/built-with-love.svg)](https://forthebadge.com)
[![forthebadge](https://forthebadge.com/images/badges/open-source.svg)](https://forthebadge.com)

### **PROJECT ID: 06**
>## ✍  PROJECT DESCRIPTION
To develop and ML application to help users get notified about dubious news sources using natural language processing.
>##   PROJECT DESCRIPTION
**To develop and ML application to help users get notified about dubious news sources using Natural Language Processing**.

![Image of Web Application](https://github.com/khushboogupta13/NEWS-CLASSIFIER/blob/master/Fake%20News%20Prediction.jpeg)

>## 📂  TECHNOLOGY USED
>##   TECHNOLOGY USED

* Flask
* Sklearn
1. [Python](https://www.python.org/) (several of its libraries like [scikit-learn](https://scikit-learn.org/stable/), [nltk](https://www.nltk.org/), [matplotlib](https://matplotlib.org/), [numpy](https://numpy.org/) and [pandas](https://pandas.pydata.org/)) for building the model.
2. [HTML](https://developer.mozilla.org/en-US/docs/Web/HTML), [CSS](https://developer.mozilla.org/en-US/docs/Learn/CSS), [Javascript](https://www.javascript.com/) for building the front end of the web application.
3. [Flask](https://flask.palletsprojects.com/en/1.1.x/) for the backend of the web application.

>## 💻  GETTING STARTED
>##   TO RUN THE MODEL ON LOCAL DEVICE

=> **Fork <a href=https://github.com/LetsUpgrade/NEWS-CLASSIFIER><img src="https://img.icons8.com/ios/24/000000/code-fork.png"></a>this repository to start contributing.**

Expand All @@ -18,4 +25,26 @@ To develop and ML application to help users get notified about dubious news sour
1) git init -initializes the git repository from the GitHub.
2) git clone -Clone the repository to your local machine
(git clone https://github.com/<your-github-username>/LetsUpgrade/NEWS-CLASSIFIER.git)
```
```

>## &nbsp; BUILDING OF THE MODEL
1. **Dataset**: https://www.kaggle.com/c/fake-news/data?select=train.csv
2. **Algorithm Used**: [Multinomial Naive Bayes](https://scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.MultinomialNB.html#:~:text=The%20multinomial%20Naive%20Bayes%20classifier,tf%2Didf%20may%20also%20work.)


>## &nbsp; FUTURE IMPROVEMENTS

1. Making a **chrome plugin** for the web application.
2. Further improving the accuracy of the model.
3. Training the model further on more datasets.

>## &nbsp; REFERENCES
1. [Fake News Classifier I](https://medium.com/swlh/build-your-own-fake-news-classifier-7918f05c2ec7)
2. [Fake News Classifier II](https://towardsdatascience.com/building-a-fake-news-classifier-using-natural-language-processing-83d911b237e1)

>## &nbsp; LICENSE

All rights reserved. Licensed under the MIT License.

[![GitHub license](https://img.shields.io/github/license/Naereen/StrapDown.js.svg)](https://github.com/Naereen/StrapDown.js/blob/master/LICENSE)

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