10 citations · 12 across the 4 of their papers we have counts for
4 papers
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…
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…
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…
Unmasking Falsehoods in Reviews: An Exploration of NLP Techniques
Anusuya Baby Hari Krishnan
In the contemporary digital landscape, online reviews have become an indispensable tool for promoting products and services across various businesses. Marketers, advertisers, and o…