Application of Meaningful Text Analytics to Online Product Reviews

Online reviews have a significant impact on opinion sharing, thus playing an important role in the purchase process. In this paper we examine the relations between the online review rating score and helpfulness on one hand and attributes measured by the readability tests on the other hand. Furthermore we investigated the interaction between users and, based on our data sets, we found that most of these are between customers and product owners. Lastly we proposed a sentiment analysis algorithm of reviews and we experimentally evaluated it using the review rating scores.

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