Topic: emotion-classification Goto Github
Some thing interesting about emotion-classification
Some thing interesting about emotion-classification
emotion-classification,3DiVi Face SDK is a set of software components (code libraries) for building face recognition solutions
Organization: 3divi
Home Page: https://3divi.ai/products/software/face-sdk
emotion-classification,b็ซๅผนๅนๆ ๆๅ็ฑป
User: akiilucky
emotion-classification,A flexible text emotion classifier with support for multiple models, customizable preprocessing, visualization tools, fine-tuning capabilities, and more.
User: ankit-aglawe
emotion-classification,TextPredict is a powerful Python package designed for various text analysis and prediction tasks using advanced NLP models. It simplifies the process of performing sentiment analysis, emotion detection, zero-shot classification, named entity recognition (NER), and more.
User: ankit-aglawe
Home Page: https://ankit-aglawe.github.io/textpredict/
emotion-classification,Final year project made on sentiment analysis of images and text present in image
User: ankurkarmakar
emotion-classification,CORpus of Translated Emotional teXts
User: azygadlo
emotion-classification,Classify the emotion in real-time and play music according to the emotion
User: bislara
emotion-classification,Appraisal-based Emotion Classification in Text
User: bluzukk
emotion-classification,ๅบไบ RoBERTa-wwm-ext ๆจกๅ็ๅพฎๅไธญๆๆ ็ปช่ฏๅซ
User: chiholeung
emotion-classification,An emotion classifier of text containing technical content from the SE domain
Organization: collab-uniba
Home Page: http://collab.di.uniba.it/research
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 Chapter of the Association for Computational Linguistics: NAACL-2022.
User: csebuetnlp
emotion-classification,This is a project of "Neurotechnology and Affective Computing" course for the third year in university.
Organization: denisandgzh
Home Page: https://denisandgzh.github.io/EEG-Emotion-Recognition/
emotion-classification,This is a simple Realtime Emotion Detector buid using #Keras and #OpenCV library. Kaggle Facial Expression dataset is used. The accuracy is around 59%.
User: deysarkarswarup
emotion-classification,Project Babble Module for VRCFaceTracking v5. An open-source VR mouth tracking solution
User: dfghiatus
emotion-classification,Original dissertation title: "Extract Emotional Tags from Movie Synopses". The identification, definition, and automatic prediction of a set of emotions in movies, based on their movie abstracts and various metadata.
User: dimi-fn
emotion-classification,Implementation of Distant Reading on Dystopian Literature (2) โ Sentiment Analysis and Emotion Classification
User: evelynkyl
emotion-classification,Intelligent song picker for Spotify
User: floriankapaun
Home Page: https://intelligent-song-picker.com
emotion-classification,EmoEvent: A Multilingual Emotion Corpus based on different Events
User: fmplaza
emotion-classification,SpanEmo
User: hasanhuz
emotion-classification,Transfer learning for multi source EEG-emotion-classification
User: heyyyyyyg
emotion-classification,[RAVDESS] Speech Emotion Recognition with Convolutional Attention based Bi-GRU. (Best test accuracy of 87%)
User: hwang9u
emotion-classification,Single-label and multi-label classifiers to detect emotions in lyrics achieved 0.65 and 0.82 F1 scores respectively.
User: imdiptanu
emotion-classification,A Flask and Deep Learning Project that recognizes the emotion/mood of the user via either a photo or voice or text given as input by the user. It also contains a chatbot!
User: jaytwwm
emotion-classification,Text Emotion classification using BERT-LSTM model on GoEmotions dataset
User: lightbooster
emotion-classification,A university project consisting of a data mining phase and the development of a web application that allows the user to classify a specific emotion using the James Russel valence-arousal domain.
User: martibb
emotion-classification,Indonesian twitter dataset for emotion classification task
User: meisaputri21
emotion-classification,The Emotion 300 Project: An Emotion Classification Messaging App w/ P300 Speller.
User: mikaelhaji
emotion-classification,Korean version of GoEmotions Dataset ๐๐ข๐ฑ
User: monologg
emotion-classification,Pytorch Implementation of GoEmotions ๐๐ข๐ฑ
User: monologg
emotion-classification,Logistic regression, text emotion classifier web application (with Streamlit), from data preprocession to model productionizing and deployment on Streamlit share.
User: nainiayoub
Home Page: https://share.streamlit.io/nainiayoub/emotion-classifier-web-app/main/app.py
emotion-classification,Emotion Classification of Movie Reviews
User: novdov
emotion-classification,A Docker-Based Federated Learning Framework Design and Deployment for Multi-modal Data Stream Classification
User: officialarijit
Home Page: https://link.springer.com/article/10.1007/s00607-023-01179-5
emotion-classification,Real-time Emotion Recognition using Physiological signals in e-Learning Here one can find the development of realtime emotion recognition using various physiological signals
User: officialarijit
emotion-classification,This project uses physiological signals from participants and a self report data annotation to classify emotions of participants using signals obtained from a wrist-worn smart device
User: olumideodetunde
emotion-classification,Emotionally responsive Virtual Metahuman CV with Real-Time User Facial Emotion Detection (Unreal Engine 5).
User: prem-ium
emotion-classification,DeepGenomotion is an android application that uses deep learning inspired augemented reality filters.
User: ravip18596
emotion-classification,The repo contains an audio emotion detection model, facial emotion detection model, and a model that combines both these models to predict emotions from a video
User: rishiswethan
emotion-classification,A Survey and Experiments on Annotated Corpora for Emotion Classification in Text
User: sarnthil
emotion-classification,Emotion classification model and sudoku solver deployed with Flask.
User: satrancci
Home Page: https://flask-api-ml-model.herokuapp.com/
emotion-classification,Successfully developed a fine-tuned BERT transformer model which can effectively perform emotion classification on any given piece of texts to identify a suitable human emotion based on semantic meaning of the text.
User: sayamalt
emotion-classification,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.
User: secondlevel
emotion-classification,This repository contains the project of the lecture machine learning of the cooperative state university Stuttgart. The goal is to develop a convolutional neural network (CNN) for image processing. In this project a data set with different emotions of faces in the shape of 80x80 pixels will be trained.
User: super-t02
emotion-classification,Speech emotion recogniton by phoneme type convergence
User: tabahi
emotion-classification,The world's simplest facial recognition api for .NET on Windows, MacOS and Linux
User: takuya-takeuchi
emotion-classification,Face detection + Age/Gender Recognition + Emotion Recognition with Python & Tensorflow
User: thebatclaudio
emotion-classification,Official code repository for paper "Multi-modal Speech Emotion Recognition using Multi-head Attention Fusion of Multi-feature Embeddings". Paper accepted to EAI INISCOM 2023
User: tpnam0901
emotion-classification,This is sundanese twitter dataset for emotion analysis purpose
User: virgantara
emotion-classification,GiMeFive: Towards Interpretable Facial Emotion Classification ๐๐ฒ๐ญ๐ก๐คข๐จ (PyTorch Implementation)
User: werywjw
emotion-classification,๐ญ ๋ค์(Daum) ๋ด์ค ํ๋ซํผ์์ ์์งํ ๋๊ธ ๋ฐ์ดํฐ์ ๋ํ 6๊ฐ์ง ๊ฐ์ ๋ถ์
User: woodongk
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