Choochart Haruechaiyasak

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Traditional approaches for studying consumer behavior, such as marketing survey and focus group, require a large amount of time and resources. Moreover, some products, such as smartphones, have a short product life cycle. As an alternative solution, we propose a system, the Micro-blog Sentiment Analysis System (MSAS), based on sentiment analysis to(More)
We propose a feature called category browsing to enhance the full-text search function of Thai-language news article search engine. The category browsing allows users to browse and filter search results based on some predefined categories. To implement the category browsing feature, we applied and compared among several text categorization algorithms(More)
In this paper, a method of automatically classifying Web documents into a set of categories using the fuzzy association concept is proposed. Using the same word or vocabulary to describe different entities creates ambiguity, especially in the Web environment where the user population is large. To solve this problem, fuzzy association is used to capture the(More)
—In this paper, we analyze and compare various approaches to Thai word segmentation. Word segmentation approaches can be classified into two distinct types: dictionary-based (DCB) and machine learning-based (MLB). DCB approaches rely on sets of stored terms to parse and segment input text. MLB approaches, on the other hand, rely on statistical models(More)
Recent research in mining user access patterns for predicting Web page requests focuses only on consecutive sequential Web page accesses, i.e., pages which are accessed by following the hyperlinks. In this paper, we propose a new method for mining user access patterns that allows the prediction of multiple non-consecutive Web pages, i.e., any pages within(More)
We propose a collaborative framework for collecting Thai unknown words found on Web pages over the Internet. Our main goal is to design and construct a Web-based system which allows a group of interested users to participate in constructing a Thai unknown-word open dictionary. The proposed framework provides supporting algorithms and tools for automatically(More)
In order to enhance the precision in association rule mining, an extension is proposed to capture the uncertain item relationships in the data sets in this paper. Two sources of uncertainty are considered: the degree of individual item importance (multiplicity) and the degree of association among the items (interrelationship). In many real-world(More)