This paper proposes a new approach to aspect-based sentiment analysis. The goal of our algorithm is to obtain a summary of the most positive and the most negative aspects of a specific product, given a collection of free-text customer reviews. Our approach starts by matching handcrafted dependency paths in individual sentences to find opinions expressed towards candidate aspects. Then, it clust...

In this paper we present an overview of a UIMA-based system for Sentiment Analysis in hotel customer reviews. It extracts objectopinion/attribute-polarity triples using a variety of UIMA modules, some of which are adapted from freely available open source components and others developed fully in-house. A Solr based graphical interface is used to explore and visualize the collection of reviews a...

This paper reports on our participation in SemEval-2015 Task 12, which was devoted to Aspect-Based Sentiment Analysis. Participants were required to identify the category (entity and attribute), the opinion target, and the polarity of customer reviews. The system we built relies on classification algorithms to identify aspect categories and on a set of rules to identify the opinion target. We p...

The growing popularity of user-generated contents in the electronic commerce industry has allowed online customer reviews (OCRs) to play an increasingly important role in the customer decision-making process. The influences of OCRs have been studied extensively by academic researchers and industry practitioners from the customer side, whereas this study provides a complementary analysis of the ...

The paper presents a method for estimating unknown user reviews in terms of which specific aspects of a particular item, such as a restaurant, a user would mention in a review that he/she would write about the item and also which sentiments the user would express about these aspects. Unlike the traditional rating-based recommendation methods, the proposed approach estimates user experiences of ...

Product text snippets should highlight the product features that are appealing to customers. Nevertheless, the features in current product snippets mainly are often decided based on the understanding of vendors or advertisers, and may fail to contain the features appealing to customers. This paper investigates how product text snippets generation can benefit from online customer reviews. In doi...

Extant research has focused on the detection of fake reviews on online review platforms, motivated by the well-documented impact of customer reviews on the users’ purchase decisions. The problem is typically approached from the perspective of protecting the credibility of review platforms, as well as the reputation and revenue of the reviewed firms. However, there is little examination of the v...

Customer reviews of products and services have positive or negative orientation depending on their experience. Determining the polarity of the reviews depend on the orientation of the words in the text, where some words are positive oriented and some are negative oriented. In this paper, we present an approach to build polarized lexicon tables, and then apply these tables to the review polarity...

This study purposes to analyze online consumer reviews on impulsive purchases, and with customer trust as a mediating variable. research was conducted in 2022. The population consumers who have experiences shopping through social media or other applications Indonesia. sample of this 400 respondents. Data analysis techniques used the Structural Equation Model (SEM). data were primary data. colle...

Many companies recently have been choosing information technology (IT) outsourcing in response to complicated information systems and various internal requirements. In order to monitor and maintain a high quality of IT outsourcing vendors’ services, it is necessary to develop a system to evaluate IT outsourcing customer satisfaction. The system can be used as a tool for choosing IT outsourcing ...