Deep Learning Models for Understanding Audience Sentiments in Movie Tweets
This study explores the application of deep learning models for analyzing audience
sentiments in movie tweets, aiming to provide a comprehensive understanding of audience …
sentiments in movie tweets, aiming to provide a comprehensive understanding of audience …
Dynamic Playlist Recommendations based on Multi-Modal Mood Detection and Contextual Learning
This paper presents a novel system for dynamic playlist recommendations by integrating
multi-modal mood detection with contextual learning. The system utilizes three primary data …
multi-modal mood detection with contextual learning. The system utilizes three primary data …
Integrating Emotion Detection with Sentiment Analysis for Enhanced Text Interpretation
A Ghosh, N Pandey… - 2024 Second International …, 2024 - ieeexplore.ieee.org
The analysis of public sentiment on various social media platforms has become more
important.. However, conventional sentiment analysis often struggle to capture intricate …
important.. However, conventional sentiment analysis often struggle to capture intricate …
Towards Safer Digital Spaces: Automated Detection of Cyberbullying Through Multi-Modal Learning
MS Karthikeyan, JRF Raj, RS Krishnan… - 2024 International …, 2024 - ieeexplore.ieee.org
Cyberbullying and online harassment present significant challenges to digital safety,
demanding robust detection systems capable of identifying abusive content across multiple …
demanding robust detection systems capable of identifying abusive content across multiple …
PROBABILISTIC ENSEMBLE MACHINE LEARNING APPROACHES FOR UNSTRUCTURED TEXTUAL DATA CLASSIFICATION
SS Vichare - 2024 - hammer.purdue.edu
The volume of big data has surged, notably in unstructured textual data, comprising emails,
social media, and more. Currently, unstructured data represents over 80% of global data, the …
social media, and more. Currently, unstructured data represents over 80% of global data, the …