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Face and Text Emotion Detection This project provides a web application for detecting emotions from both facial expressions and text input. The application uses pre-trained machine learning models to predict emotions in real-time. Dataset Links Face Emotion Detection Dataset: Facial Emotion Recognition ...
The rapid growth of textual data on social media platforms has increased attention to emotion detection (ED) from text. Businesses and online service providers leverage ED techniques to analyze customer or user sentiments toward their products and services, enabling more informed and strategic decision...
In concluding the literature review, we elaborate on the four capabilities and their potency in addressing the challenges of the complexity and ambiguity of digital emotion expressions in knowledge-focused activities. The first capability is the output of the emotion detection approach. In most cases,...
Recently, it has been shown that natural language processing (NLP) methods that recognizeaffectiveinformation (e.g., emotions and sentiment[18]) in text can make important contributions towards the automated detection of misinformation and conspiracies[19]. Significant advances in many NLP tasks (e....
Majumder N, Poria S, Hazarika D, et al (2019) Dialoguernn: an attentive rnn for emotion detection in conversations. In: Proceedings of the AAAI conference on artificial intelligence, pp 6818–6825 Mao Y, Liu G, Wang X et al (2021) DialogueTRM: exploring multi-modal emotional dynamics in ...
Similarly, the Text + Speech + Mocap method integrates text, speech, and motion capture data, achieving an accuracy of 71.23%. This underscores the benefit of combining diverse data sources to improve the robustness of emotion detection systems. Furthermore, our results indicate that certain ...
CMNis a neural framework for emotion detection in dyadic conversations. It leverages mutlimodal signals from text, audio and visual modalities. It specifically incorporates speaker-specific dependencies into its architecture for context modeling. Summaries are then generated from this context using multi-...
Weakly Supervised Video Emotion Detection and Prediction via Cross-Modal Temporal Erasing Network Zhicheng Zhang Lijuan Wang Jufeng Yang† TMCC, College of Computer Science, Nankai University, China gloryzzc6@sina.com, 13693225189@163.com, yangjufeng@nankai....
git clone https://github.com/aryaman-0011/Emotion-Detection.git cd Emotion-Detection Install the required libraries: pip install -r requirements.txt Run the model: python face_detection.py Requirements File Below is the content of the requirements.txt file: tensorflow~=2.18.0 keras panda numpy~...