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Published in:
2021 | OriginalPaper | Chapter
Sentiment Analysis of Product Reviews on Social Media
Authors : Velam Thanu, David Yoon
Published in: Advances in Software Engineering, Education, and e-Learning
Publisher: Springer International Publishing
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Abstract
Social media is a platform where people share their interests and opinions. Users posting their opinions about a product or a service they used is very common nowadays. This information can be important to marketers. Knowledge about how a product is perceived in a society is crucial to improve the sales and formulate marketing business strategies. The data flow in social media is of extreme high volume and this data is generated in a scale of hundreds of gigabytes each day. There are many applications which have been built to make the most use of this idle data one of the most important one being sentiment analysis.
Sentiment analysis is the process of determining the classification of opinions expressed in a text as positive, negative or neutral.
In this project, we would like to develop an application that mimics the functions of a sentiment analysis system by using different third-party APIs/libraries to collect data and analyze it. A user can use this application to get the sentiment of users for a product on social media.