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

Detect sexual predators in chats

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Fine-tuning BERT-small on GoEmotions dataset.

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.

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

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

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

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

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

Russian translation of the GoEmotions dataset

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

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

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.

Multi-Label Emotion Detection based in GoEmotions Dataset with ML Models and Transformers.

A study project to practice TensorFlow - building a sentiment analysis model. Employed GloVe embeddings in conjunction with the GoEmotions dataset.

Multilabel Text Sequence Classification

Emotion Sentiment Analysis

Trining emotions classifier of text data using BERT and GoEmotions dataset

Machine learning projects spanning regression, computer vision, and NLP. Includes RBF-based linear regression with regularization, MLP/CNN/ResNet models for OrganAMNIST classification, and traditional ML vs. BERT-based emotion classification on the GoEmotions dataset.