jash0803 / Fake_News_Prediction

Predicts whether a news is real or fake taking author name and title of the news into consideration.

Fake_News_Prediction

I have trained the model with the train.csv downloaded from kaggle.com
https://www.kaggle.com/c/fake-news/data?select=train.csv

What did I learn?

1. NLTK library which is used for pre-processing the data
   a. Tokenizing words & sentences
   b. StopWords and how to remove that
   c. Stemming & Lemmatizing
   d. Sentimental Analysis
   e. Meaning of word using wordnet
   

2. TF-IDF(Term Frequency Inverse Document Frequency) which coverts words to vectors

3. Logistic Regression which is used for classifying the output as 0 or 1

My future scope is to merge this fake news classifier with my portfolio management database.