[HTML][HTML] Transfer learning enhanced vision-based human activity recognition: a decade-long analysis

A Ray, MH Kolekar, R Balasubramanian… - International Journal of …, 2023 - Elsevier
The discovery of several machine learning and deep learning techniques has paved the
way to extend the reach of humans in various real-world applications. Classical machine …

[HTML][HTML] A survey on hate speech detection and sentiment analysis using machine learning and deep learning models

M Subramanian, VE Sathiskumar… - Alexandria Engineering …, 2023 - Elsevier
In today's digital era, the rise of hate speech has emerged as a critical concern, driven by the
rapid information-sharing capabilities of social media platforms and online communities. As …

[HTML][HTML] How can we detect homophobia and transphobia? experiments in a multilingual code-mixed setting for social media governance

BR Chakravarthi, A Hande, R Ponnusamy… - International Journal of …, 2022 - Elsevier
Homophobia or Transphobia can be defined as the hatred, discomfort, or dislike of lesbian,
gay, transgender or bisexual people. Studies have shown that these individuals were more …

[HTML][HTML] Deep learning based sentiment analysis of public perception of working from home through tweets

A Vohra, R Garg - Journal of Intelligent Information Systems, 2023 - Springer
Nowadays, we are witnessing a paradigm shift from the conventional approach of working
from office spaces to the emerging culture of working virtually from home. Even during the …

[HTML][HTML] PyFin-sentiment: Towards a machine-learning-based model for deriving sentiment from financial tweets

M Wilksch, O Abramova - … Journal of Information Management Data Insights, 2023 - Elsevier
Responding to the poor performance of generic automated sentiment analysis solutions on
domain-specific texts, we collect a dataset of 10,000 tweets discussing the topics of finance …

Entity-level sentiment analysis in contact center telephone conversations

XY Fu, C Chen, MTR Laskar, S Gardiner… - arXiv preprint arXiv …, 2022 - arxiv.org
Entity-level sentiment analysis predicts the sentiment about entities mentioned in a given
text. It is very useful in a business context to understand user emotions towards certain …

[HTML][HTML] Graph embedding approaches for social media sentiment analysis with model explanation

VS Anoop, CS Krishna, UH Govindarajan - International Journal of …, 2024 - Elsevier
ChatGPT, the revolutionary chat agent launched in November 2022, is still an active topic of
discussion among technology enthusiasts. This open-ended chatbot allows human-like …

[HTML][HTML] A System to Support Readers in Automatically Acquiring Complete Summarized Information on an Event from Different Sources

P Dell'Oglio, A Bondielli, F Marcelloni - Algorithms, 2023 - mdpi.com
Today, most newspapers utilize social media to disseminate news. On the one hand, this
results in an overload of related articles for social media users. On the other hand, since …

What news sparks interest on YouTube? A study of news content uploaded by India's top five Hindi news networks

M Deori, V Kumar, MK Verma - Online Information Review, 2023 - emerald.com
Purpose The consumption of news from social media is the new trend, still news channels
are the authentic source to transmit relevant news to audiences. Social media has gradually …

[PDF][PDF] Simple Yet Effective Named Entity Oriented Sentiment Analysis

L Sanochkin, A Bolshina, K Cheloshkina… - Proceedings of the …, 2023 - dialog-21.ru
Sentiment analysis, ie the automatic evaluation of the emotional tone of a text, is a common
task in natural language processing. Entity-Oriented Sentiment Analysis (EOSA) predicts the …