Sentiment analysis algorithms analyze text and categorize it based on the sentiments or opinions in the text. Sentiment analysis detects subjective opinions that are expressed in text. For example, reviews on Amazon Marketplace give a good or a bad review of a product. Using sentiment analysis, we can detect whether a review is positive or negative. We can also recognize emotional nuances in a review, such as whether the reviewer was angry, excited, or neutral about a given product. In this age of social media, we have a large number of avenues to voice our opinions on products, movies, politics, and more. Data scientists use sentiment analysis algorithms to analyze a large amount of data and extract opinions regarding a certain entity based on unstructured text data.
Amazon Comprehend makes the task of sentiment analysis easy by providing...
