In the contemporary era of digitalization, characterized by the ubiquitous nature of e-commerce in our routine activities, the significance of consumer feedback and product reviews assume paramount importance. In the current market landscape, consumers are more dependent on the experiences and views of others in order to make well-informed choices amidst a wide array of accessible items. In the expansive realm of the digital marketplace, it is imperative to possess the ability to comprehend the sentiment conveyed within product reviews, as it transcends being a mere indulgence and becomes an essential requirement. As a result, sentiment analysis often referred to as opinion mining, enabling businesses to interpret the emotional and attitudinal aspects inherent in consumer feedback. This assessment beyond the conventional practice of assigning stars ratings and instead explores the complexities of human expression, encompassing the subtleties of contentment, dissatisfaction, enthusiasm, and other emotional states. In the realm of electronic commerce, sentiment analysis assumes a crucial role in deriving important insights from the extensive collection of product reviews.

Within the domain of sentiment analysis based on product reviews, a multitude of research endeavors have been undertaken to elucidate the complex dynamics of consumer thoughts and sentiments pertaining to a diverse range of products and services. In this section, we present a succinct summary of the relevant literature that has laid the foundation for our own study in this domain. We emphasize significant discoveries, methodology employed, and contributions made by different authors that have influenced the field of sentiment analysis based on product reviews. The purpose of this investigation is to situate our study within the larger framework of current scholarly works and pinpoint areas where further research is needed, which serve as the driving force behind our research goals.