False News Detector
by sshemanthbollepalli 
Updated: Aug 6, 2022
Solution Kit
In this project, we have used various natural language processing techniques and machine learning algorithms to classify fake news articles using sci-kit libraries from python.
About Libraries
We Use Jupyter Notebook as the Environment and NumPy for Data Analysis and Exploration and spaCy used for Text Mining,Finally Scikit Learn used for Sentence Embedding
notebookby jupyter
9914 Version:v7.0.0a18Jupyter Interactive Notebook
notebookby jupyter
Jupyter Notebook 9914 Version:v7.0.0a18 License: Permissive (BSD-3-Clause)
scikit-learnby scikit-learn
53572 Version:1.2.2scikit-learn: machine learning in Python
scikit-learnby scikit-learn
Python 53572 Version:1.2.2 License: Permissive (BSD-3-Clause)
Working of False News Detector
Essentially, Linguistic Cue approaches detect fake news by catching the information manipulators in the writing style of the news content. The main methods that have been implemented under the Linguistic Cue approaches are Data Representation, Deep Syntax, Semantic Analysis, and Sentiment Analysis.
FakeNewsDetectionby sshemanth
0 Version:CurrentFakeNewsDetectionby sshemanth
Jupyter Notebook 0 Version:Current License: Permissive (MIT)