Fake News Detector
Fake News Detection
Fake news detection is a natural language processing (NLP) task that involves identifying and classifying news articles or other types of text as real or fake. The goal is to develop algorithms that can automatically detect and flag fake news, helping to combat misinformation and promote the spread of accurate information. Creating a fake news detector is an exciting and meaningful project that combines NLP, machine learning, and sometimes fact-checking APIs or databases.
Provide the necessary information, and the complete truth behind the news will be revealed to you as soon as possible.
Fake news on different platforms is spreading widely and is a matter of serious concern, as it causes social wars and permanent breakage of the bonds established among people. A lot of research is already going on focused on the classification of fake news.
Steps to be followed
- Importing Libraries and Datasets
- Data Preprocessing
- Preprocessing and analysis of News column
- Converting text into Vectors
- Model training, Evaluation, and Predic