Abstract:
The internet and social media platforms have made huge amounts of information
available to consumers all over the world. There are several internet sources available
on categorical opinions of activities, commodities and services, beliefs, or the mood
produced by online users. Various sectors, particularly e-commerce, heavily rely on
sentiment analysis to boost productivity and make better business decisions in today's
competitive business environment. Sentiment Analysis is an associate degree in the
field of analytics that has shown to be one of the most useful tools for uncovering
actionable insights from large text datasets across a variety of disciplines. The major
goal or objective of our project is to compare different items and determine which
is the finest among them. We all know that finding the right or perfect product may be
tough, thus our project would help the user in the best manner possible by giving a list
of items ranked from best to worst based on comment sentiment analysis. The
relevance of comment analysis in identifying the top best products is critical since the
remark highlights the customer's perspective on that product. Second, this can assist
the business owner in determining whether or not the items on their website are
genuine. Additionally, this research may assist businesses in determining the return on
investment of their marketing initiatives and improving customer service. Because
sentiment analysis allows businesses to get a sneak glimpse into their customers'
emotions, they can anticipate and control any crises ahead oftime.
