Pretrained BERT model for analysing COVID-19 Twitter data

Source code for the paper "Large-scale, Language-agnostic Discourse Classification of Tweets During COVID-19" (2020)

Analysis of long covid symptoms from Twitter data using BERT

Source code of paperwork - "UIT-HSE at WNUT-2020 Task 2: Exploiting CT-BERT for Identifying COVID-19 Information on the Twitter Social Network"

🦠 A framework that leverages machine translation and the BERT model for performing multi-lingual sentiment polarity detection of COVID-19 tweets posted in Hindi language on Twitter.

Antivaxxer sentiment analysis during COVID-19 via Twitter and BERT language model

BERT Model with HuggingFace Library to perform text classification with Twitter Dataset.

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Code for "Sentiment Analysis on Covid Tweets Using COVID-Twitter-BERT with Auxiliary Sentence Approach", published at ACMSE 2021.

CS235 project for twitter sentiment analysis COVID-19 related tweets based on BERT deep neural network

Sentiment analysis of covid 19 tweets made by users on Twitter using LSTM and BERT. Twitter API has been used to fetch the tweets related to covid 19.

This is a Repository for my summer research project that was completed in The summer of 2022. The goal of the project is training a BERT model to detect Covid-19 Rumors on Twitter.

Investigating 5G conspiracy discussions on Twitter during COVID-19. Utilizes data mining, NLP, BERT for sentiment analysis, and ARIMA/SARIMAX for time series forecasting. A multilingual study to understand misinformation dynamics and promote social media accuracy.

A machine learning tool to analyze COVID-19 sentiments on Twitter data. Classifies tweets as Positive, Negative or Neutral using BERT. Features data preprocessing, visualization and a real-time prediction interface to understand public emotions during the pandemic.