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☆32Updated 4 years ago
- ✨ Fake news classification using source adaptive framework - BE Project 🎓The repository contains Detailed Documentation of the project…☆40Updated 2 years ago
- BERT and RoBERTa☆20Updated 4 years ago
- Fake News Detection with Machine Learning☆143Updated 5 years ago
- Fake news detection using Deep Learning☆68Updated 6 years ago
- Fake News Detection in Python☆617Updated 2 years ago
- Triple Branch BERT Siamese Network for fake news classification on LIAR-PLUS dataset in PyTorch☆152Updated 3 years ago
- ☆151Updated 2 years ago
- Detect depression in tweets using Keras☆31Updated 5 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
- Fake news detection☆56Updated 5 years ago
- Real-time sentiment analysis on tweets using tweepy and kafka. Graphed using the output of a neural network and Dash/Plotly.☆14Updated 5 years ago
- Fake News Detection by Learning Convolution Filters through Contextualized Attention☆40Updated 4 years ago
- Fake News Classification WebApp using Flask & Python☆74Updated 2 years ago
- NLP-Project-Fake-News-Detection☆21Updated 6 years ago
- A notebook to understand the concept of Information Extraction using NLP techniques in Python.☆44Updated 4 years ago
- It is a Natural Language Processing Problem where Sentiment Analysis is done by Classifying the Positive tweets from negative tweets by m…☆258Updated 2 years ago
- Fake News Detection☆20Updated 5 years ago
- Using NLP and Classification Models to distinguish between fake news and absurd news.☆45Updated 6 years ago
- r/Fakeddit New Multimodal Benchmark Dataset for Fine-grained Fake News Detection☆207Updated 3 years ago
- Text Summarization for Research Papers☆79Updated 3 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
- Multi-class sentiment analysis lstm, finetuned bert☆219Updated 6 years ago
- Extensive tutorials for the Advanced NLP Workshop in Open Data Science Conference Europe 2020. We will leverage machine learning, deep le…☆134Updated 5 years ago
- This repository contains the code of our winning solution for the Shared Task on Detecting Signs of Depression from Social Media Text at …☆28Updated 2 years ago
- Project using Naive Bayes, SVM, CNN, LSTM, etc.☆17Updated 4 years ago
- Deep learning model of depression detection from activity sensor data☆14Updated 4 years ago
- In this repository, i will be making some cool projects in NLP from basic to intermediate level.☆155Updated last year
- 📖 A curated list of resources dedicated to Fake News Detection☆54Updated 3 years ago
- Fake news is misinformation or manipulated news that is spread across the social media with an intention to damage a person, agency and o…☆30Updated 7 years ago