prathameshmahankal / Fake-News-Detection-Using-BERTLinks
In this project, I am trying to track the spread of disinformation. This repo is for the ML part of the project and where it tries to classify tweets as real or fake depending on the tweet text and also the text present in the article that is tagged in the tweet. This particular implementation uses BERT for classification.
☆26Updated 4 years ago
Alternatives and similar repositories for Fake-News-Detection-Using-BERT
Users that are interested in Fake-News-Detection-Using-BERT are comparing it to the libraries listed below
Sorting:
- Fake News Detection using a BERT-based Deep Learning Approach☆30Updated 4 years ago
- Fake News Detection with Machine Learning☆141Updated 5 years ago
- Fake News Detection in Python☆601Updated 2 years ago
- ✨ Fake news classification using source adaptive framework - BE Project 🎓The repository contains Detailed Documentation of the project…☆40Updated 2 years ago
- ☆151Updated 2 years ago
- Evaluate the performance of several state-of-the-art deep learning techniques on various text classification datasets. This project is pa…☆27Updated 4 years ago
- BERT and RoBERTa☆18Updated 4 years ago
- Triple Branch BERT Siamese Network for fake news classification on LIAR-PLUS dataset in PyTorch☆153Updated 3 years ago
- In this repository, i will be making some cool projects in NLP from basic to intermediate level.☆152Updated last year
- Detect depression in tweets using Keras☆31Updated 5 years ago
- Fake News Detection☆19Updated 5 years ago
- Fake news detection☆55Updated 5 years ago
- Depression Detection Using Twitter Data - Group project for Udacity Private & Secure AI Project Showcase☆55Updated 2 years ago
- Data Science, Machine Learning, Deep Learning, NLP, Python & Library's cheat Sheet - Interview Questions & Notes☆67Updated 4 years ago
- A notebook to understand the concept of Information Extraction using NLP techniques in Python.☆44Updated 4 years ago
- NLP-Project-Fake-News-Detection☆21Updated 6 years ago
- Code for the paper 'Deep Learning for Detecting Cyberbullying Across Multiple Social Media Platforms', ECIR'18☆47Updated 6 years ago
- Fake news detection using Deep Learning☆65Updated 6 years ago
- r/Fakeddit New Multimodal Benchmark Dataset for Fine-grained Fake News Detection☆197Updated 3 years ago
- Fake News Detection by Learning Convolution Filters through Contextualized Attention☆40Updated 4 years ago
- Sentiment Analysis with Deep Learning using BERT project is designed to recognize sentiments in text through Natural language processing …☆53Updated 4 years ago
- Detecting whether a particular tweet contains negative emotions attached with it or not from the given dataset☆25Updated 5 years ago
- Objective of the project is to build a hybrid-filtering personalized news articles recommendation system which can suggest articles from …☆41Updated 5 years ago
- Sentiment analysis dashboard for Twitter hashtags☆100Updated last month
- IBM Hackathon☆21Updated 2 years ago
- Our Sentimental LIAR dataset is a modified and further extended version of the LIAR extension introduced by Kirilin et al. In our dataset…☆16Updated 3 years ago
- Documenting all the concepts and codes learned in NLP☆28Updated 4 years ago
- Real-time sentiment analysis on tweets using tweepy and kafka. Graphed using the output of a neural network and Dash/Plotly.☆14Updated 4 years ago
- Information Retrieval algorithms developed in python. To follow the blog posts, click on the link:☆131Updated 4 years ago
- Using NLP and Classification Models to distinguish between fake news and absurd news.☆45Updated 6 years ago