emotion-classification

This repository contains the official release of the model "BanglaBERT" and associated downstream finetuning code and datasets introduced in the paper titled "BanglaBERT: Language Model Pretraining and Benchmarks for Low-Resource Language Understanding Evaluation in Bangla" accpeted in Findings of the Annual Conference of the North American Chap…

A Survey and Experiments on Annotated Corpora for Emotion Classification in Text

Pytorch Implementation of GoEmotions 😍😢😱

Emotion text classification using Llama3-8b with LoRA and FlashAttention. Based on LLaMA-Factory.

SpanEmo

Korean version of GoEmotions Dataset 😍😢😱

Emotionally responsive Virtual Metahuman CV with Real-Time User Facial Emotion Detection (Unreal Engine 5).

基于 RoBERTa-wwm-ext 模型的微博中文情绪识别

[RAVDESS] Speech Emotion Recognition with Convolutional Attention based Bi-GRU. (Best test accuracy of 87%)

Final year project made on sentiment analysis of images and text present in image

Fine-grained Emotion Classification (FEC) using structured feature fusion from LLaMA-2-7B-Chat, BERT-large, and RoBERTa-large.

Transfer learning for multi source EEG-emotion-classification

Logistic regression, text emotion classifier web application (with Streamlit), from data preprocession to model productionizing and deployment on Streamlit share.

A Docker-Based Federated Learning Framework Design and Deployment for Multi-modal Data Stream Classification

Appraisal-based Emotion Classification in Text

Real-time emotion recognition with 40-channel EEG, facial analysis & PPG fusion - PyQt6 interface with DEAP dataset, KNN/SVM classifiers

This is sundanese twitter dataset for emotion analysis purpose

It is the nlp task to classify empathetic dialogues datasets using RoBERTa, ERNIE-2.0 and XLNet with different preprocessing method. You can get some detailed introduction and experimental results in the link below.

Speech emotion recognition (SER) datasets for 70 languages and a benchmark of 11 speech models (HuBERT, wav2vec 2.0, WavLM, Whisper) in 29 languages. Interspeech 2026.

Text Emotion classification using BERT-LSTM model on GoEmotions dataset