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With the rapid growth of information services, enormous amount of text corpus cannot simply be read and understand. Therefore, text clustering and visualization present a direct way to observe the documents as well as understand the topic by corresponding keywords. However, even a short paragraph contains a variety of
Analyzing users' Web log data and extracting their interests of Web-watching behaviors are important and challenging research topics of Web usage mining. Users visit their favorite sites and sometimes search new sites by performing keyword search on search engines. Users' Web-watching behaviors can be regarded as a
document. We think that our graph captures many properties of the text documents and can be used for different application in the field of text mining and NLP, such as keyword extraction and to know the nature of the document. Our approach to construct a semantic graph is independent of any language. We performed an
Enquiring about and understanding what is going on around ourselves is a fundamental and natural human behaviour. The psychological concept of sense of place considers our individual perceptions of particular locations at particular times. In addition to the immediate properties of our environment, it is also strongly dependent on our individual traits, purpose and relationships as they evolve and...
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...
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