This paper presents a new approach, which can be easily adapted to different domains without the existence of comprehensive lexica. As test documents customer reviews and patent documents are used.

Online reviews have transformed consumer behaviour in product information searching and sharing. While some literature frames online reviews as “electronic word of mouth,” we posit that an online review system is an IT-enabled customer service system and that online reviews are not an electronic version of a traditional face-to-face phenomenon. Their growing popularity engenders new phenomena f...

Abstract: Customer reviews of goods sold on shopping sites are pivotal factors to affect the potential purchasing behavior. However, some traditional classification methods are too simplistic to take buyers’ feelings and emotions into full consideration. In this paper, an extended asynchronous spiking neural P system with local synchronization and weighted synapses is proposed to achieve the se...

Rapid increase in internet users along with growing power of online review sites and social media has given birth to sentiment analysis or opinion mining, which aims at determining what other people think and comment. Sentiments or Opinions contain public generated content about products, services, policies and politics. People are usually interested to seek positive and negative opinions conta...

Online product reviews are a major source of business intelligence (BI) that helps managers and marketers understand customers’ concerns and interests. The large volume of review data makes it difficult to manually analyze customers’ concerns. Automated tools have emerged to facilitate this analysis, however most lack the capability of extracting the relationships between the reviews’ rich expr...

Reviews depict sentiments of customers towards various aspects of a product or service. Some of these aspects can be grouped into coarser aspect categories. SemEval-2014 had a shared task (Task 4) on aspect-level sentiment analysis, with over 30 teams participated. In this paper, we describe our submissions, which stood first in detecting aspect categories, first in detecting sentiment towards ...

Online customer reviews is considered as a significant informative resource which is useful for both potential customers and product manufacturers. In web pages, the reviews are written in natural language and are unstructured-free-texts scheme. The task of manually scanning through large amounts of review one by one is computational burden and is not practically implemented with respect to bus...

In this paper, we explore a large multimodal dataset of about 65k albums constructed from a combination of Amazon customer reviews, MusicBrainz metadata and AcousticBrainz audio descriptors. Review texts are further enriched with named entity disambiguation along with polarity information derived from an aspect-based sentiment analysis framework. This dataset constitutes the cornerstone of two ...

Available online 19 August 2010

The dynamic opinion words usually have different polarity directions when they are in combination with different features. Determining the polarity direction of these dynamic opinion words is one of the difficult problems in opinion mining. Although the opinion words with dynamic polarity are usually less than those with static polarity, these opinion words can be matched with most features, ca...