DL-TBAM: Deep Learning Transformer based Architecture Model for Sentiment Analysis on Tamil-English Dataset

M Sangeetha, K Nimala - Journal of Intelligent & Fuzzy …, 2024 - content.iospress.com
NLP, or natural language processing, is a subfield of AI that aims to equip computers with
the ability to understand and analyze human language. Sentiment analysis is a widely used …

Sentiment Analysis on Code-Mixed Tamil-English Corpus: A Comprehensive Study of Transformer-Based Models

M Sangeetha, K Nimala - 2023 - researchsquare.com
NLP, or natural language processing, is a subfield of AI that aims to equip computers with
the ability to understand and analyze human language. Sentiment analysis is a widely used …

CUET-NLP@ DravidianLangTech-ACL2022: exploiting textual features to classify sentiment of multimodal movie reviews

N Mustakim, N Jannat, M Hasan… - Proceedings of the …, 2022 - aclanthology.org
With the proliferation of internet usage, a massive growth of consumer-generated content on
social media has been witnessed in recent years that provide people's opinions on diverse …

Kazakh Text Generation using Neural Bag-of-Words Model for Sentiment Analysis

A Nurlybayeva, A Abd Almisreb… - … Europe Journal of …, 2022 - moodletest.ius.edu.ba
Text generation plays an important role in making decisions in business. Analyzing the
consumer's feedback provides a complete picture of the problem with a definite direction …

A Comprehensive Review: Sentiment Analysis for Indian Local Languages

Priyanka, J Vashishtha, S Kumar - … on Advances in Data-driven Computing …, 2023 - Springer
Every single one of us regularly shares one's thoughts on various social media sites in this
modern era. These thoughts reflect their sentiments and the researchers collect these data …

Relook into sentiment analysis performed on Indian languages using deep learning

K Chakraborty, R Bag… - 2018 Fourth International …, 2018 - ieeexplore.ieee.org
Sentiment analysis in various Indian languages has been gaining huge recognition recently
for the overall trend to take decisions based on reviews in almost all aspects of judgement …

Anxiety and Depression Red Flag Marker in Social Media

S Srivastava, D Das, MK Hassan, R Mondal… - … Conference on Smart …, 2024 - Springer
The mental health issue is a big issue taken small in our society. In this post-COVID-19 era,
this issue has taken a grave turn, where the detection, prevention, and avoidance measures …

An efficient approach to analyse sentiment using deep learning

I Dawn, GB Ganguly, K Chakraborty - Intelligent Techniques and …, 2020 - Springer
Recently a huge rise regarding the amount of data in the form of texts is observed and it is
equally important to understand the emotion behind these texts. The sentiment analysis of a …

Emotions in the time of COVID-19: A sentiment analysis of tweets during the nationwide lockdown in India

RS Abdulkader, K Jeyashree, D Venugopal… - medRxiv, 2022 - medrxiv.org
Background COVID-19 pandemic is unprecedented in terms of burden, nature and quantum
of control measures and public reactions. We report trends in public emotions and …

[PDF][PDF] HRS-TECHIE@ Dravidian-CodeMix and HASOC-FIRE2020: Sentiment Analysis and Hate Speech Identification using Machine Learning Deep Learning and …

S Swaminathan, HK Ganesan, R Pandiyarajan - FIRE (Working Notes), 2020 - ceur-ws.org
In this paper, we (HRS-TECHIE) present our submissions to challenges Dravidian-CodeMix
and HASOC at FIRE 2020. Classification of sentiments from social media posts and …