Concepts, Approaches, and Challenges in a Study of Sentiment Analysis

Sentiment analysis (SA) describes the process of carefully going over content that has been saved online to identify and categorize the viewpoints expressed in a text. This process is to assess the author's point of view about a certain object, movie, subject, etc. Positive, negative, or neutral outcomes are possible. These studies provided examples of several SA strategies for extracting and analysing feelings related to the topic's polarity of positive, negative, or neutral. Social media networks SA may be a good resource for data and information. The relationship between big data methods and their use in the field of SA is also briefly discussed. There has been a notable advancement in the usage of Big Data (Hadoop) in the process of gathering information and evaluations from social networks for analysis in recent times.