• sowmya
• Dr. T. John Peter

This paper reviews sequential pattern analysis techniques in aspect-level sentiment classification (ASC) for product reviews. It surveys methodologies integrating sequential pattern mining with sentiment analysis frameworks, emphasizing advancements in attention-based models and recurrent neural networks. The review addresses challenges such as data sparsity and domain adaptation while suggesting future research directions. By synthesizing current approaches, this review aims to guide researchers and practitioners in enhancing aspect level sentiment analysis of product reviews.

Aspect-level sentiment classification ,Sequential Pattern Mining, data sparsity , domain adaptation.

"A Comprehensive Review of Sequential Pattern Analysis Techniques in Aspect-Level Sentiment Classification", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 9, page no.f174-f185, September-2024, Available :http://www.jetir.org/papers/JETIR2409550.pdf

"A Comprehensive Review of Sequential Pattern Analysis Techniques in Aspect-Level Sentiment Classification", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 9, page no. ppf174-f185, September-2024, Available at : http://www.jetir.org/papers/JETIR2409550.pdf