Pytorch Implementation of GoEmotions 😍😢😱

Korean version of GoEmotions Dataset 😍😢😱

How to build a multi-label sentiment classifiers with Tez and PyTorch

Detection of fine-grained emotions in texts

Text Emotion classification using BERT-LSTM model on GoEmotions dataset

Fine-tuning BERT-small on GoEmotions dataset.

Detect sexual predators in chats

Multi-module project to perform sentiment analysis on Irish Immigration using ML and NLP techniques.

Modelo basado en Stable Diffusion XL ajustado mediante LoRA para aprender el estilo visual de los memes irónicos y sarcásticos, utilizando el dataset Hateful Memes Dataset (Facebook AI). Genera imágenes limpias y expresivas sin texto incrustado, sobre las cuales se superpone luego el caption estilo meme.

Sentiment Analysis on “HelloTalk” App Review Data with NRC Emotion Lexicon and GoEmotions Dataset

Story-Vibe: Instantly analyse and understand the emotional tone of any story.

Multi-label text classification in Reddit comments using statistical and learned features.

Russian translation of the GoEmotions dataset

Emotion architecture from Reddit comments: rater behavior, semantic clusters, and contradiction mapping in GoEmotions.

🧬AI Sentiment Analysis project using NLP and Machine Learning with TF-IDF, multiple model comparisons, hyperparameter tuning, and advanced emotion detection using RoBERTa, Huggingface

A full end-to-end NLP framework for analysing mental-health expressions on Reddit using sentiment modelling, fine-tuned classification (28 GoEmotions & 7 Ekman), circumplex affect modelling, and emotion network analysis.

Projeto de dados para análise de sentimentos comparando os modelos BERTimbau e LSTM para Processamento de Linguágem Natural (PLN).

Library for analyzing information from a list of journal entries. Utility functions and some wrapper functions for analyzing structure and emotions behind the text written