bertweet

BERTweet: A pre-trained language model for English Tweets (EMNLP-2020)

repository of data-mining-2022 project

Aspect Based Sentiment Analysis (ABSA) of Customer Reviews

Source code for COMP90042 Project 2021

This repository contains the code used for the method paper "BERTweet’s TACO Fiesta: Contrasting Flavors On The Path Of Inference And Information-Driven Argument Mining On Twitter".

This repository contains the annotation framework, dataset and code used for the resource paper "TACO -- Twitter Arguments from COnversations".

Real-time hate-speech filter: regex → LoRA-tuned BERTweet (530K tweets, 84.5 Macro F1 / 0.68 MCC) → Supabase feedback, served sub-second via FastAPI using browser & Streamlit UIs.

This is a production-ready, end-to-end system developed to detect and classify racist tweets using advanced Natural Language Processing (NLP) techniques. Built on top of BERTweet (vinai/bertweet-base) and fine-tuned with a robust, k-fold cross-validation training pipeline, powered by streamlit UI!

This project leverages ML to classify mental health risk signals (potential signs of depression) by analyzing structured profile metadata and unstructured textual data from social platforms, with a focus on user behavior, interactions, and content.

Indonglish Dataset created based on Jaksel Sociolinguistic phenomenon

Tweet irony detection and emotion classification challenge with BERTweet — Natural Language Processing, MSc @ UniPA 2025

Static web interface for BERTweet Guard, hosted on GitHub Pages at bertweet.anutej.us. Sends text to the Cloud Run API, visualizes normal/flagged probabilities and threshold margins, and pre-warms the ML backend to reduce perceived cold starts.

Official repository for CARVS, a Reddit sentiment-informed cryptocurrency trading strategy published in IEEE Access (2026).

Sentiment Analysis of Tweets on Autonomous Vehicles from 2012 to 2021

Sentiment analysis towards COVID-related tweets on specific topics, namely vaccines and masks.

Alert Text Detector is an NLP-based model that detects alert messages from social media posts. It is built using BERTweet Base and trained on a dataset of 23,000 tweets (alert & non-alert). The model flags emergency-related messages and classifies tweets based on textual content.

AI text-moderation project built by fine-tuning BERTweet with LoRA, Weighted Focal Loss, cosine scheduling, and validation-calibrated thresholds. Includes model comparisons, Jigsaw training and evaluation, a FastAPI inference API, and Cloud Run deployment.

Spring Boot backend for OpenStream, a microblogging platform with server-side BERTweet moderation before post persistence. Supports users, follows, chronological feeds, PostgreSQL/Neon, explicit pass/block/skip policy, 17 tests, and Docker deployment on Render.