Sentiment analysis is one of the most general text classification applications. The purpose of it is to analyze messages such as user reviews, and feedback from employees, in order to identify whether the underlying sentiment is positive, negative, or neutral.
Analyzing and reporting sentiment in texts allows businesses to quickly get a consolidated high-level insight without having to read each one of the comments received.
While it is possible to generate holistic sentiment based on the overall comments received, there is also an extended area called aspect-based sentiment analysis. It is focused on deriving sentiment based on each area of the service. For example, a customer that visited a restaurant when writing a review would generally cover areas such as ambience, food quality, service quality, and price. Though the feedback about each of...
