Criticalminds: Enhancing ml models for esg impact analysis categorisation using linguistic resources and aspect-based sentiment analysis

I Atanassova, M Potier, M Mathie, M Bertin… - Proceedings of the …, 2024 - aclanthology.org
This paper presents our method and findings for the ML-ESG-3 shared task for categorising
Environmental, Social, and Governance (ESG) impact level and duration. We introduce a …

[PDF][PDF] Aspect Based Sentiment Analysis Using Modified Latent Dirichlet Allocation and Optimized BERT with LSTM Classification.

NT MB, GG Shivappa - International Journal of Intelligent Engineering & …, 2024 - inass.org
Aspect-Based Sentiment Analysis (ABSA) is essential in industries such as healthcare,
automotive, and finance, where understanding customer feedback is crucial for business …

Aspect-based sentiment-analysis using topic modelling and machine-learning.

RJ Dhanal, VR Ghorpade - International Journal of Electrical …, 2024 - search.ebscohost.com
This study addresses the critical need for an accurate aspect-based sentiment-analysis
(ABSA) model to understand sentiments effectively. The existing ABSA models often face …

Causality for Natural Language Processing

Z ** - 2024 - ub01.uni-tuebingen.de
Causal reasoning is a cornerstone of human intelligence and a critical capability for artificial
systems aiming to achieve advanced understanding and decision-making. This thesis …

[PDF][PDF] Revolution+ Love: Measuring the Entanglements of State Violence and Emotions in Early PRC

M Kurzynski, A Gilkison - 2024 Computational Humanities Research …, 2024 - ceur-ws.org
This paper examines the relationship between violent discourse and emotional intensity in
the early revolutionary rhetoric of the People's Republic of China (PRC). Using two fine …