ML Algorithms in Online User Reviews for Sentiment Analysis

The online ecosystem is designed to be open for live interactions. Online users can indulge in immersive web pages, engage in social conversations, and post online reviews. Web platforms are built to encourage users to post opinions without restrictions. This has stretched the scope for building several meaningful digital experiences in the web ecosystem.

Online products and services get positive and, every now and then, negative reviews. A fair amount of scrutinizing behavior by users can be spotted on most online platforms. Heaps of reviews are posted online by users on marketplaces, community web pages, and social media pages. The growing volume of user review data, especially that causes damage to a company’s online reputation, requires efficient management. This has pushed companies to monitor what users write about the products and the services across the web and adopt the methodologies of sentiment analysis.