10 citations · 10 across the 3 of their papers we have counts for
3 papers
cs.CL2023★ 10 cited
Exploring the Power of Topic Modeling Techniques in Analyzing Customer Reviews: A Comparative Analysis
Anusuya Krishnan
The exponential growth of online social network platforms and applications has led to a staggering volume of user-generated textual content, including comments and reviews. Consequ…
cs.CL2023
Optimizing Multi-Class Text Classification: A Diverse Stacking Ensemble Framework Utilizing Transformers
Anusuya Krishnan
Customer reviews play a crucial role in assessing customer satisfaction, gathering feedback, and driving improvements for businesses. Analyzing these reviews provides valuable insi…
cs.CL2023
Exploring Machine Learning and Transformer-based Approaches for Deceptive Text Classification: A Comparative Analysis
Anusuya Krishnan
Deceptive text classification is a critical task in natural language processing that aims to identify deceptive o fraudulent content. This study presents a comparative analysis of…