Sentiment Analysis and Visualization of Amazon Books' Reviews

Nowadays user-generated content is growing in a digital world, where many individuals can post texts about various products in order to express their feedback. Reviews about products are critical as they guide others to use it or not which affect the production profit, and popularity. Amazon is one of the companies that provide reviews of users regarding all its products. Since reviews are textual and varying; an interactive representation would be supportive to users through summarizing opinions and providing feedback. In this paper, a visual analytics tool proposed; as a dashboard; a user-friendly analysis of books' reviews on Amazon. Interactive Packed bubbles, Linear chart, Stacked bars, and Word-cloud are four visualization techniques incorporated together enabling users to explore relationships between multiple objectives at the same time in an interactive manner. Besides, visual sentiment analysis of opinions extracted from the user reviews of books whether positive, neutral or negative is provided to support users' decision.