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This paper presents a corpus-based approach for extracting keywords from a text written in a language that has no word boundary. Based on the concept of Thai character cluster, a Thai running text is preliminarily segmented into a sequence of inseparable units, called TCCs. To enable the handling of a large-scaled
paper, we propose the automatic keyword extraction system and Thai website categorization system which can automatically update the dictionary and categorize website in Thai. The dictionary is a collection of vector which is created from the automatic keyword extraction system. The result in term of accuracy shows that our
The problem of automatically extracting the most interesting and relevant keyword phrases in a document has been studied extensively as it is crucial for a number of applications. These applications include contextual advertising, automatic text summarization, and user-centric entity detection systems. All these
neighbor search of videos from Internet. The fundamental problem lies on the scalability of a search technique, in face of the intractable volume of videos which keep rolling on the Web. In this paper, we investigate scalability of several well-known features including color signature and visual keywords for Web-based
To support understanding of news, we propose a novel TEC model (Topic-Event Causal relation model) and describe the method to construct a Causal Network in the TEC model. The model includes two types of keywords to represent casual relations: topic keywords, which describe topics, and event keywords, which describe
This paper presents an integrated approach to automatically provide an overview of content on Thai websites based on tag cloud. This approach is intended to address the information overload issue by presenting the overview to users in order that they could assess whether the information meets their needs. The approach has incorporated Web content extraction, Thai word segmentation, and information...
Recently, with the increasing of users and activities in social network service, an image sentiment analysis has been an important keyword for psychological study and commercial marketing. To recognize accurately user's sentiments of the image, it is essential to identify discriminative visual features and then
keywords from messages posted on social media which will be helpful in the identification of various communities, category of user and hidden pattern present in the social media. In this paper, we applied Probalistic approach to recognize the new keywords and assign the group accordingly. State-of-the-art studies performed
There are a huge number of videos with text tags on the Web nowadays. In this paper, we propose a method of automatically extracting from Web videos video shots corresponding to specific actions with just only providing action keywords such as “walking” and “eating”. The proposed method
topic, object and attribute dictionaries. Eight kinds of text are extracted as image semantic source from Web pages. Combining with semantic dictionaries, image semantic keywords can be extracted from the eight kinds of text. The strategy of extracting image semantics is better than existing technique, which is better than
important to provide users with valuable information about goods of any category. The objective of this research is to improve the usefulness of reviews for consumers. This research focuses on an opinion dictionary as a collection of specific keywords and key phrases. This opinion dictionary models a standardized better review
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