Analyzing sentiments in e-commerce: Techniques, applications and challenges

Sentiment Analysis (SA), a crucial component of Natural Language Processing (NLP), involves discerning sentiment within textual data. While widely applicable across diverse domains, this paper specifically focuses on SA within E-Commerce datasets. Serving as a concise review for beginners, the paper encompasses an overview of approximately twenty early works in SA. It elucidates the techniques employed, SA levels, and delineates the methodologies underpinning these approaches. In addition to elucidating the foundational methodologies, this paper provides insights into the applications of SA. It sheds light on how SA techniques find practical utility in discerning and interpreting sentiment nuances within the realm of E-Commerce. Furthermore, the paper delves into the challenges intrinsic to SA, offering a comprehensive understanding of the intricacies associated with this NLP task.