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fake-news-detection's Introduction

Fake-News-Detection

Made a Fake News Detection Using NLP Natural Language Processing with my classmate

Used Nltk Library for building the model, trainned the model over 15k plus record and got an accurracy of around 86%

STEPS INVOVED

Preprossesing the data

removed all th stop words the article's from the dataset
Removed the outliers from the data accordingly to the trend

preprocessing

Techniques's Used
We used different techniques starting from Naive aprroach using Countvectorizer to do the convert the data into machine readble form
starting from there used HashVectorizer and then moving toward TFID
Using Multinomial Classifier at first

modal

Integration part

Integrated the model with the web based site and Used Firebase as a cloud for storage as well as for authentication purpose of the user
Few Screen shot the projects

HOME

HOME

LOGIN

LOGIN

SIGNUP

SINGUP

CONTACT

CONTACT

PREDICT

PREDICTION

APPROACH

APPROACH

RESULT

RESULT

the Pickeld modal is provided

fake-news-detection's People

Contributors

rahuljadli avatar

Stargazers

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Watchers

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