Todsanai Chumwatana

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This paper proposes a non-segmented document clustering method using self-organizing map (SOM) and frequent max substring technique to improve the efficiency of information retrieval. SOM has been widely used for document clustering and is successful in many applications. However, when applying to non-segmented document, the challenge is to identify any(More)
Thai language is considered as a non-segmented language where words are a string of symbols without explicit word boundaries, and also the structure of written Thai language is highly ambiguous. This problem causes an indexing technique has become a main issue in Thai text retrieval. To construct an inverted index for Thai texts, an index terms extraction(More)
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