Multimodal sentiment analysis
Multi-modal classifications of digits with image and audio modality. One shot learning with Siamese network is used to predict if the given input image-audio pair belongs to same class or not.
Code and Dataset for paper "On the Role of Images for Analyzing Claims in Social Media" @2nd International Workshop on Cross-lingual Event-centric Open Analytics (CLEOPATRA) co-located with The Web Conf 2021
Project related to emotional classification on reddit dataset which fuses language and image modality.
Source code from 2023 AI CUP Competition on Multimodal Classification of Voice Pathology.
A multimodal deep learning project for classifying mental health-related memes, combining both textual and visual features.
Multimodal Classification of Crisis-related social media contents.
Dataset for classifying TikTok videos as sexually suggestive, sex-educational, or otherwise. (ACL Findings 2023)
A generalized research workbench for fusing visual (CNN) and textual (RNN/LSTM) features. It provides a clean, modular Keras framework, optimized for efficient training on Google Colab by leveraging local I/O and persistent asset saving to Google Drive.
Notebooks and papers of the Penta ML and NLP teams in the Exist 2024 challenge at CLEF 2024
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