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In recent years, due to significant developments in online shopping and the widespread use of e-commerce, competition among companies has increased considerably. As a result, product reviews have become a primary factor in consumers' decision making, which has given rise to a market for fraudulent reviews about real products and services. In this study, the authors propose a model using a multiple...
Corpus is the set of language materials which are stored in computers and can use computers to search, query and analyze for enterprise decision-makers. Automated text categorization has been extensively studied and various techniques for document categorization. But based on the current scarcity of Chinese corpus, especially in the field of text categorization, the Chinese categorization corpus is...
Within the past decades, many fuzzy aggregation techniques, ordered weighted averaging (OWA) in particular, have proven effective for a wide range of information processing tasks, such as decision making, image analysis, database and machine learning. Despite reported successes, their potentials have yet to be explored for the emerging problem of link analysis, which aims to discover similarity and...
With the popularization and development of Internet, as a new business methodology, e-business Web sites are attracting the attention of public and springing with fierce competition. How to make the Web sites invincible and how to help the potential customers make decisions? The only way is to make a comprehensive and accurate evaluation of the sites. Many traditional approaches have done this job,...
Sentiment classification aims at mining reviews of people for a certain event's topic or product by automatic classifying the reviews into positive or negative opinions. With the fast developing of World Wide Web applications, sentiment classification would have huge opportunity to help people automatic analysis of customers' opinions from the web information. Automatic opinion mining will benefit...
In 2005, inspired by Von Neumannpsilas self-reproducing automata, the author had introduced self-reproducing machine learning (SRML). In this article the author is trying to explore the nature of self-reproducing machine learning, SRML architectures, formal structures, mathematical structures and its integrated systems software engineering principles. The author will demonstrate SRML technology to...
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