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

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

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

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APPROACH

RESULT

the Pickeld modal is provided