Online Paper Review Analysis

Abstract

Sentiment analysis or opinion mining is used to automate the detectionof subjective information such as opinions, attitudes, emotions, andfeelings. Hundreds of thousands care about scientific research and takea long time to select suitable papers for their research. Online reviewson papers are the essential source to help them. The reviews savereading time and save papers cost. This paper proposes a new techniqueto analyze online reviews. It is called sentiment analysis of onlinepapers (SAOOP). SAOOP is a new technique used for enhancing bag-of-wordsmodel, improving the accuracy and performance. SAOOP is useful inincreasing the understanding rate of review's sentences through higherlanguage coverage cases. SAOOP introduces solutions for some sentimentanalysis challenges and uses them to achieve higher accuracy. This paperalso presents a measure of topic domain attributes, which provides aranking of total judging on each text review for assessing and comparingresults across different sentiment techniques for a given text review.Finally, showing the efficiency of the proposed approach by comparingthe proposed technique with two sentiment analysis techniques. Thecomparison terms are based on measuring accuracy, performance andunderstanding rate of sentences.