Book Reviews Sentiment Classifier
This model is created to categorize the positive or negative sentiment of any book reader's evaluation of that book.
See it in Action!
Labels
| Positive | : A positive label indicates that readers are expressing their happiness and satisfaction. |
| Negative | : A negative label indicates conversations in that readers express their dissatisfaction, rage, disappointment or simply sadness. |
Languages
English
Description
In this digital age, people are much more interested in buying and selling things on e-commerce websites. The book is one of the best selling items online by different online stores. Amazon is one of the leading online stores with a rich assortment of products, processing million-dollar transactions every year. The book, in particular, is one of Amazon's bestsellers. That's why Sentiment has a very strong position in market analysis and future business development. Based on sentiment, it is now possible to predict anything business related based on the user and other NLP-related areas where the ideas come from. This model focuses on determining the quality of books as well as authors through user-provided review comments and rating analysis. Thus, people can find the best book they need in a short time and without difficulty.
