Comparative Study of Opinion Mining and Sentiment Analysis: Algorithms and Applications

Rana Zuhair Alobaidy, Ghaydaa Abdulaziz Altalib, Zainab S. Attarbashi

Abstract


The massive amount of data available online increases the ability to analyze and understand how people are thinking. The internet revolution has added billions of customer’s review data in its depots. This has given an interest in sentiment analysis and opinion mining in the recent years. People have to depend on machines to classify and process the data as there are terabytes of review data in stock of a single product. So that prediction customer sentiments is very important to analyze the reviews as it not only helps in increasing profits but also goes a long way in improving and bringing out better products.  In this paper, we present a survey regarding the presently available techniques and applications that appear in the field of opinion mining, such as: economy, security, marketing, spam detection, decision making, and elections expectation. The survey is based on the techniques used with English-written data however it is important for future studies on other languages like Arabic and Malay.


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