With the rapidly increasing number of Thai online customer reviews available in social media and websites, sentiment analysis technique, also called opinion mining, has become an important task in the past few years. This technique aims to analyze people’s emotions, opinion, attitudes and sentiments. The classical approaches for opinion mining represents the reviews as bag-of-words as many word...

Intent mining is a special kind of document analysis whose goal is to assess the attitude of the document author with respect to a given subject. Opinion mining is a kind of intent mining where the attitude is a positive or negative opinion. Most systems tackle the problem with a two step approach, an information retrieval followed by a postprocess or filter phase to identify opinionated blogs....

Usability is critical for any system, but in software it is one of the most important features. In fact, one of the main reasons for software failure is the system lacking to achieve users specified goals and satisfaction. For this reason, usability evaluation is becoming an important part of software development. Software usability evaluation can be costly in terms of time and human. Therefore...

Opinions are very important in the life of human beings. These Opinions helped the humans to carry out the decisions. As the impact of the Web is increasing day by day, Web documents can be seen as a new source of opinion for human beings. Web contains a huge amount of information generated by the users through blogs, forum entries, and social networking websites and so on To analyze this large...

Opinion mining has been receiving increasing attention recently, and various approaches have been suggested for mining sentiment information, such as mining attitudes or opinions about a topic or product etc. However, as far as we know, little work has been reported on citation opinion mining (COM). By COM, we refer to the process of identifying authors opinions towards the works they cite, suc...

Most of the previous approaches in opinion mining focus on the classifications of opinion polarities, positive or negative, expressed in customer reviews. In this paper, we present the problem of extracting contextual opposite sentiments in classified free format text reviews. We adapt the sequence data model to text mining with Part-of-Speech tags, and then we propose a belief-driven approach ...

A fundamental issue in opinion mining is to search a corpus for opinion units, each of which typically comprises the evaluation by an author for a target object from an aspect, such as “This hotel is in a good location”. However, few attempts have been made to address cases where the validity of an evaluation is restricted on a condition in the source text, such as “for traveling with small kid...

The automatic classification of opinions about aspects of political candidates, from public web data, is a complex Opinion Mining problem. This paper describes a case study of aspect-based opinion mining in the context of comments that newspaper readers express about political news. Our challenge is to identify and summarize opinions on aspects of election candidates, using an ill-structured so...

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...

Knowing about people's opinions and viewpoints plays an essential role in decision-making processes involving regular customers to executive managers. Therefore, in the past decade, with the advent of Web 2.0, a new orientation of natural language processing science called opinion mining has been emerged. The main problem of exploring feature-level opinions is the complexity of feature extracti...