A Term Analyzer Based on the Results of Search Engines
Date Issued
2008
Date
2008
Author(s)
Huang, Shuai-Peng
Abstract
Because of the development of the network, using search engines that search for data has become popular in this modern society. People using the search engine often find a lot of similar terms. This will cause some difficulties in determining the accuracy of terms. If we can find out the most frequent and similar terms from the results of the search engine, maybe those terms will help the user identify the most accurate terms. In addition, some similar terms are caused by the reorganization among the characters. Therefore, we propose a term analyzer for listing top-ranking terms sorted by their frequency or similarity. If the terms are one of the 300 Tang poetries or Chinese idiom, the system will also show the source. Finally, it shows the results according to the criteria specified by the user.
Subjects
relevance-terms
search engine
text retrieval
300 Tang poems
Chinese idiom
Type
thesis
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