• C.B.Pavithra
• Dr.J.Savitha

Topic modeling is a prominent technique in natural language processing and machine learning that aims to uncover latent structures within textual data. This paper delves into the world of topic modeling, providing an in-depth examination of algorithms, applications and challenges associated with this field. Starting with an overview of the historical evolution of topic modeling, we explore key algorithms such as Latent Dirichlet Allocation (LDA), Non-Negative Matrix Factorization (NMF) and Latent Semantic Analysis (LSA). Through a comprehensive literature review, we reveal the diverse range of applications from sentiment analysis to healthcare and business intelligence. However, this paper also highlights the significant challenges that researchers and practitioners face in the domain of topic modeling, including issues of scalability, interpretability, handling multilingual and multimodal data, overfitting, and ethical considerations. By presenting real-world case studies and examples, we illustrate the practical implications of topic modeling across various fields and demonstrate how it continues to shape the landscape of data analysis and information retrieval. In conclusion, this paper provides a valuable resource for researchers, practitioners, and enthusiasts interested in exploring the intricacies of topic modeling. It not only surveys the state of the art but also identifies emerging trends and suggests directions for future research, promising to influence both academia and industry.

Topic Modeling, Latent Dirichlet Allocation (LDA), Non-Negative Matrix Factorization (NMF), Latent Semantic Analysis (LSA), Natural Language Processing (NLP), Sentiment Analysis, Information Retrieval, Scalability, Interpretability, Ethical and Considerations.

"EXPLORING TOPIC MODELING: ALGORITHMS, APPLICATIONS, AND CHALLENGES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 10, page no.f288-f301, October-2023, Available :http://www.jetir.org/papers/JETIR2310435.pdf

"EXPLORING TOPIC MODELING: ALGORITHMS, APPLICATIONS, AND CHALLENGES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 10, page no. ppf288-f301, October-2023, Available at : http://www.jetir.org/papers/JETIR2310435.pdf