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.

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

A group project for the Essentials of Text and Speech Processing module at UZH.

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

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

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

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

Trining emotions classifier of text data using BERT and GoEmotions dataset