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Digital Library is a way to represent, retrieval, and study Thai E-san culture heritages without directly accessing and touching. It may help to reduce a dilapidation of Thai E-san culture heritages. We commence our project with organizing a collection of images through classification technique. Therefore, this work is motivated by two main drivers. Firstly, we aim to apply an alternative dimension...
In the last few years, several works in the literature of software engineering have addressed the problem of requirement management. A majority problem of software errors is introduced during the requirements phase because much of requirements specification is written in natural language format. As this, it is hard to identify consistencies because of too ambiguous for specification purpose. Therefore,...
Ambiguity is a major problem of software errors because much of the requirements specification is written in a natural language format. Therefore, it is hard to identify consistencies because this format is too ambiguous for specification purposes. This paper aims to propose a method for handling requirement specification documents which have a similar content to each other through a hierarchical...
This paper presents a method of ontology-based sentiment classification to classify and analyse online product reviews of consumers. We implement and experiment with a support vector machines text classification approach based on a lexical variable ontology. After testing, it could be demonstrated that the proposed method can provide more effectiveness for sentiment classification based on text content.
A problem of children being exposed to pornographic Web sites on the Internet has led to their safety issues. To prevent the children from these inappropriate materials, an effective Web filtering system is essential. Content-based Web filtering is one of the important techniques to handle and filter inappropriate information on the web. In this paper, we examine a content-based analysis technique...
Due to the flood of pornographic web sites on the internet, effective Web filtering systems are essential. Web filtering based on content has become one of the important techniques to handle and filter inappropriate information on the web. We examine two machine learning algorithms (support vector machines and Naive Bayes) for pornographic web filtering based on text content. We then focus initially...
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