emotion-analysis

This repo contains implementation of different architectures for emotion recognition in conversations.

TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow

Real time emotion recognition

A real time Multimodal Emotion Recognition web app for text, sound and video inputs

📖 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。

Reading list for Awesome Sentiment Analysis papers

Natural Language Toolkit for bahasa Malaysia, https://malaya.readthedocs.io/

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

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

This repository contains PyTorch implementation for the baseline models from the paper Utterance-level Dialogue Understanding: An Empirical Study

Emotion analyzer for Japanese text

A sentiment and emotion analysis server in Python

Code repo for the EMOTIC dataset

Identify the emotion of multiple speakers in an Audio Segment

Multimodal sentiment analysis using hierarchical fusion with context modeling

Group Emotion Recognition using deep neural networks and Bayesian classifiers.

Toolbox for Emotion Analysis using Physiological signals

PyTorch implementation of Emotic CNN methodology to recognize emotions in images using context information.

공개 한국어 감성 검색 엔진 - 2017 제 11회 공개SW개발자대회 결선작

Efficient face emotion recognition in photos and videos

Plexus - Interactive Emotion Visualization based on Social Media

The library is useful for analyzing the emotions present in any audio file(call/music/recordings) into three classes namely positive, negative, neutral.

Deep-learning Transfer Learning models of NTUA-SLP team submitted at the IEST of WASSA 2018 at EMNLP 2018.

📘 🐍 🔍 Performed data analysis of news headlines by scraping websites and extracting metadata for each news headline using IBM's Watson NLU API. Explored data by plotting charts to uncover patterns and trends. Recorded all my findings in a Jupyter Notebook.

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.

Greedy Search for Descriptive Spatial Face Features

React Component for Facial Feature Recognition based on the clmtracker

Система, анализирующая тональность текстов и высказываний.