Abstract
The failure of effective information management over the web does not influence only on by the speed of information retrieval; but also influenced by individual and organizational activities. Thus, the search engine of information retrieval plays a pivotal role in retrieving results that are relevant to users' query. Categorization is an optimist alternative to improve the accuracy and speed of information retrieval. This paper proposes a method using evidential reasoning based on similarity for text categorization. Term and frequency of term has influenced the process of deciding the document category. In order to define a new category for new document, our proposed method has taking degree similarities into consideration.
Original language | English |
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Title of host publication | 2010 World Automation Congress, WAC 2010 |
Publication status | Published - 2010 |
Event | 2010 World Automation Congress, WAC 2010 - Kobe Duration: 2010 Sept 19 → 2010 Sept 23 |
Other
Other | 2010 World Automation Congress, WAC 2010 |
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City | Kobe |
Period | 10/9/19 → 10/9/23 |
Keywords
- Categorization
- Evidential reasoning
- Latent semantic analysis
- Similarity
ASJC Scopus subject areas
- Control and Systems Engineering