There are 18 repositories under emotion-analysis topic.
微博爬虫及配套工具箱,微博用户、话题、评论采集一网打尽。图片下载、情感分析,地理位置、关系网络、spammer 机器人识别等功能应有尽有。Docs:https://buyixiao.github.io/blog/weibo-super-spider.html 配套可视化网站:https://buyixiao.github.io/blog/one-stop-weibo-visualization.html
This repo contains implementation of different architectures for emotion recognition in conversations.
TensorFlow 101: Introduction to Deep Learning
Real time emotion recognition
A real time Multimodal Emotion Recognition web app for text, sound and video inputs
:book: 收集NLP领域相关的数据集、论文、开源实现,尤其是情感分析、情绪原因识别、评价对象和评价词抽取方面。
Efficient face emotion recognition in photos and videos
Reading list for Awesome Sentiment Analysis papers
Natural Language Toolkit for Malaysian language, https://malaya.readthedocs.io/
微博超级话题爬虫,微博词频统计+情感分析+简单分类,新增肺炎超话爬取数据
A Survey and Experiments on Annotated Corpora for Emotion Classification in Text
Identify the emotion of multiple speakers in an Audio Segment
This repository contains PyTorch implementation for the baseline models from the paper Utterance-level Dialogue Understanding: An Empirical Study
Emotion analyzer for Japanese text
Automate detection of different emotions from paragraphs and predict overall emotion.
Can ChatGPT really understand the opinions, sentiments, and emotions contained in the text? We provide a preliminary evaluation.
Group Emotion Recognition using deep neural networks and Bayesian classifiers.
Multimodal sentiment analysis using hierarchical fusion with context modeling
Emotion Recognition, EEG Mapping, Azimuthal Projection Technique, CNN
Webapp than can create emotionally gradiented Spotify playlists and more 🎵🎧🔀
Deep-learning Transfer Learning models of NTUA-SLP team submitted at the IEST of WASSA 2018 at EMNLP 2018.
The library is useful for analyzing the emotions present in any audio file(call/music/recordings) into three classes namely positive, negative, neutral.
Simply emotion analyse and classify using EEG data based on DEAP dataset, using python and sklearn(SVM,KNN,Tree). 简单的EEG脑电数据情感分析,使用python和DEAP数据集。
Plexus - Interactive Emotion Visualization based on Social Media
공개 한국어 감성 검색 엔진 - 2017 제 11회 공개SW개발자대회 결선작
Example projects built with the Hume AI APIs
Emotion classification has always been a very challenging task in Computer Vision. Using the SSD object detection algorithm to extract the face in an image and using the FER 2013 released by Kaggle, this project couples a deep learning based face detector and an emotion classification DNN to classify the six/seven basic human emotions.
Uses Kinect to study human motion, does emotional analysis and generates music based on user's emotion.
:notes: A mood-based melody generator
Greedy Search for Descriptive Spatial Face Features