The amount of user generated content is increasing day by day and it involves detection of opinions about particular topic or an object. Sentiment analysis is used to extract sentiments of people about products, moviews, political events etc. It identifies the viewpoint of opinion holder and polarity of the content i.e. positive negative or neutral. Given the large amount of news being generate...

The air cargo terminals (ACTs) recently focus on developing relationship with customers to meet their requirements and enhance loyalty in the competitive environments in Taiwan. The purpose of this study is to explore the effects of service quality, innovation capability and corporate image on customer’s satisfaction and loyalty of ACTs. After reviewing the literatures, the structural equation ...

This article provides a general exploration of the argument that the Internet’s potential for extending strong democratic culture through critical communication is being undermined by a corporate colonization of cyberspace. The article investigates which sites are attracting the attention of participants seeking public content and interaction. The investigation finds that large corporate portal...

This paper concentrates on single document multi news Punjabi extractive summarizer. Although lot of research is going on in field of multi document news summarization systems but not even a single paper was found in literature for single document multi news summarization for any language. It is first time that this system has been developed for Punjabi language and is available online at: http...

The increasing use of social media around global news events, such as the London Olympics in 2012, raises questions for international broadcasters about how to engage with users via social media in order to best achieve their individual missions. Twitter is a highly diverse social network whose conversations are multi-directional involving individual users, political and cultural actors, athlet...

Corporate credit rating prediction is one of the most important topics, which has been studied by researchers in the last decade. Over the last decade, researchers are pushing the limit to enhance the exactness of the corporate credit rating prediction model by applying several data-driven tools including statistical and artificial intelligence methods. Among them, multiclass support vector mac...

In this paper, we propose an approach for corporate decision making with self-organizing patent maps labeled by technical terms and AHP. First, we select the patent area of interest and collect pertinent patent documents in text format. Second, we extract keywords by text mining to transform patent documents into feature vectors of the companies. Third, we input the feature matrix of technical ...

This study investigates the coverage of solid waste management on 1,142 websites maintained by companies, news media, and non-governmental organizations to validate an automated approach to content and language analysis. First, a frequency analysis of waste management terms is used to shed light on the breadth and depth of their environmental discourses, revealing that corporate and media atten...