ritikamotwani / Deception-Detection
Detecting Deception using Verbal Cues | Dataset Used: Real life trial data collected during a series of experiments at Michigan (http://web.eecs.umich.edu/~zmohamed/PDFs/Trial.ICMI.pdf) and Deceptive Opinion Spam Corpus v1.4(https://myleott.com/op-spam.html)
☆25Updated 2 years ago
Alternatives and similar repositories for Deception-Detection:
Users that are interested in Deception-Detection are comparing it to the libraries listed below
- ICSSE2020 : Face Expression and Tone of Voice for Deception System(Official implementation)☆16Updated 2 years ago
- Deception and emotion detection via audio and video.☆35Updated 5 years ago
- Context-Dependent Sentiment Analysis in User-Generated Videos☆124Updated 2 years ago
- Engaged in research to help improve to boost text sentiment analysis using facial features from video using machine learning.☆32Updated 7 years ago
- Source code for the paper "Text-based Depression Detection: What Triggers An Alert"☆46Updated last year
- This code has been developed for detecting sentiment in videos using Convolutional Neural Network and Multiple Kernel Learning.☆27Updated 7 years ago
- Attention-based multimodal fusion for sentiment analysis☆344Updated 11 months ago
- Twitter tweets play an important role in every organisation. This project is based on analysing the English tweets and categorizing the t…☆15Updated 4 years ago
- Official PyTorch implementation of Multilogue-Net (Best paper runner-up at Challenge-HML @ ACL 2020)☆58Updated 2 years ago
- Detecting depression in a conversation using Convolutional Neral Network☆68Updated 3 years ago
- Multimodal Deep Learning Framework for Mental Disorder Recognition @ FG'20☆38Updated 2 years ago
- This repository contains the code for the paper `End-to-End Multimodal Emotion Recognition using Deep Neural Networks`.☆245Updated 4 years ago
- [AAAI SAP 2020] Modeling Personality with Attentive Networks and Contextual Embeddings☆59Updated 2 years ago
- Human Emotion Understanding using multimodal dataset.☆96Updated 4 years ago
- Deep-HOSeq: Deep Higher-Order Sequence Fusion for Multimodal Sentiment Analysis.☆11Updated 4 years ago
- A Transformer-based joint-encoding for Emotion Recognition and Sentiment Analysis☆121Updated last month
- Code for the paper 'Video Gesture Analysis for Autism Spectrum Disorder Detection', ICPR 2018☆20Updated 6 years ago
- CM-BERT: Cross-Modal BERT for Text-Audio Sentiment Analysis（MM2020）☆110Updated 4 years ago
- A curated list of awesome work on machine learning for mental health applications. Includes topics broadly captured by affective computin…☆120Updated 4 years ago
- This is a short tutorial for using the CMU-MultimodalSDK.☆82Updated 6 years ago
- Conventionally depression detection was done through extensive clinical interviews, wherein the subject’s re- sponses are studied by the …☆1Updated 4 years ago
- Pytorch Implementation of Tensor Fusion Networks for multimodal sentiment analysis.☆188Updated 4 years ago
- The code repository for NAACL 2021 paper "Multimodal End-to-End Sparse Model for Emotion Recognition".☆99Updated 2 years ago
- ☆62Updated 5 years ago
- Multimodal Fusion, Multimodal Sentiment Analysis☆22Updated 4 years ago
- Multi-modal Emotion detection from IEMOCAP on Speech, Text, Motion-Capture Data using Neural Nets.☆161Updated 4 years ago
- Multimodal Affective Analysis Using Hierarchical Attention Strategy☆12Updated 6 years ago
- codes for: Modality to Modality Translation: An Adversarial Representation Learning and Graph Fusion Network for Multimodal Fusion☆47Updated 3 years ago
- BB-SVM model for automatic personality detection of the essays dataset (Big-Five personality labeled traits)☆31Updated 3 years ago
- Implementation of the paper "Real-Time Emotion Recognition via Attention Gated Hierarchical Memory Network" in AAAI-2020.☆31Updated 2 years ago