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  • × author_ss:"Tseng, Y.-H."
  1. Tseng, Y.-H.: Automatic cataloguing and searching for retrospective data by use of OCR text (2001) 0.00 
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    Date
    29. 9.2001 13:58:18
  2. Tseng, Y.-H.; Lin, C.-J.; Lin, Y.-I.: Text mining techniques for patent analysis (2007) 0.00 
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    Date
    26.12.2007 11:28:39
  3. Tseng, Y.-H.: Automatic thesaurus generation for Chinese documents (2002) 0.00 
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    Abstract
    Tseng constructs a word co-occurrence based thesaurus by means of the automatic analysis of Chinese text. Words are identified by a longest dictionary match supplemented by a key word extraction algorithm that merges back nearby tokens and accepts shorter strings of characters if they occur more often than the longest string. Single character auxiliary words are a major source of error but this can be greatly reduced with the use of a 70-character 2680 word stop list. Extracted terms with their associate document weights are sorted by decreasing frequency and the top of this list is associated using a Dice coefficient modified to account for longer documents on the weights of term pairs. Co-occurrence is not in the document as a whole but in paragraph or sentence size sections in order to reduce computation time. A window of 29 characters or 11 words was found to be sufficient. A thesaurus was produced from 25,230 Chinese news articles and judges asked to review the top 50 terms associated with each of 30 single word query terms. They determined 69% to be relevant.

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