Topic-guided abstractive multimodal summarization with multimodal output
Summarization is a technique that produces condensed text from large text documents by
using different deep-learning techniques. Over the past few years, abstractive …
using different deep-learning techniques. Over the past few years, abstractive …
Detecting multimodal cyber-bullying behaviour in social-media using deep learning techniques
S MohammedJany, CBR Killi, S Rafi… - The Journal of …, 2025 - Springer
Cyberbullying detection refers to the process of classifying and identifying of cyberbullying
behavior—which involves the use of technology to harass, or bullying individuals, typically …
behavior—which involves the use of technology to harass, or bullying individuals, typically …
SCT: Summary Caption Technique for Retrieving Relevant Images in Alignment with Multimodal Abstractive Summary
This work proposes an efficient Summary Caption Technique that considers the multimodal
summary and image captions as input to retrieve the correspondence images from the …
summary and image captions as input to retrieve the correspondence images from the …
The Role of Attention Mechanism in Generating Image Captions: An Innovative Approach with Neural Network-Based Seq2seq Model
Image-to-text generation contributes significantly across various domains such as
entertainment, communication, commerce, security, and education by establishing a …
entertainment, communication, commerce, security, and education by establishing a …
Abstractive Text Summarization Using Multimodal Information
Much text generates over the internet through news articles, story writing and blogs.
Reading and understanding such an enormous amount of data to the user is problematic …
Reading and understanding such an enormous amount of data to the user is problematic …