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The exponential growth of e-commerce has triggered it to become a rich source of information nowadays. On e-commerce, customers provide a qualitative evaluation in the form of an online review that describes their opinions on a specific product [1]. With a huge number of OPRs, manual processing is not an efficient task. Sentiment analysis (SA) technique emerges in response to the requirement of processing OPRs in speed [2]. In terms of product review analysis, SA which is also named Opinion Mining can be defined as a task of recognizing customer's opinion or sentiment toward the products or the product features [3] that can be categorized into positive, negative, or neutral

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