Approach for Text Classification Based on the Similarity Measurement between Normal Cloud Models
The similarity between objects is the core research area of data mining. In order to reduce the interference of the uncertainty of nature language, a similarity measurement between normal cloud models is adopted to text classification research. On this basis, a novel text classifier based on cloud c...
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2014/784392 |
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| author | Jin Dai Xin Liu |
| author_facet | Jin Dai Xin Liu |
| author_sort | Jin Dai |
| collection | DOAJ |
| description | The similarity between objects is the core research area of data mining. In order to reduce the interference of the uncertainty of nature language, a similarity measurement between normal cloud models is adopted to text classification research. On this basis, a novel text classifier based on cloud concept jumping up (CCJU-TC) is proposed. It can efficiently accomplish conversion between qualitative concept and quantitative data. Through the conversion from text set to text information table based on VSM model, the text qualitative concept, which is extraction from the same category, is jumping up as a whole category concept. According to the cloud similarity between the test text and each category concept, the test text is assigned to the most similar category. By the comparison among different text classifiers in different feature selection set, it fully proves that not only does CCJU-TC have a strong ability to adapt to the different text features, but also the classification performance is also better than the traditional classifiers. |
| format | Article |
| id | doaj-art-0f90eea8881242f8b904ca86c3951662 |
| institution | Kabale University |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-0f90eea8881242f8b904ca86c39516622025-02-03T05:44:16ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/784392784392Approach for Text Classification Based on the Similarity Measurement between Normal Cloud ModelsJin Dai0Xin Liu1College of Software Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, ChinaCollege of Software Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, ChinaThe similarity between objects is the core research area of data mining. In order to reduce the interference of the uncertainty of nature language, a similarity measurement between normal cloud models is adopted to text classification research. On this basis, a novel text classifier based on cloud concept jumping up (CCJU-TC) is proposed. It can efficiently accomplish conversion between qualitative concept and quantitative data. Through the conversion from text set to text information table based on VSM model, the text qualitative concept, which is extraction from the same category, is jumping up as a whole category concept. According to the cloud similarity between the test text and each category concept, the test text is assigned to the most similar category. By the comparison among different text classifiers in different feature selection set, it fully proves that not only does CCJU-TC have a strong ability to adapt to the different text features, but also the classification performance is also better than the traditional classifiers.http://dx.doi.org/10.1155/2014/784392 |
| spellingShingle | Jin Dai Xin Liu Approach for Text Classification Based on the Similarity Measurement between Normal Cloud Models The Scientific World Journal |
| title | Approach for Text Classification Based on the Similarity Measurement between Normal Cloud Models |
| title_full | Approach for Text Classification Based on the Similarity Measurement between Normal Cloud Models |
| title_fullStr | Approach for Text Classification Based on the Similarity Measurement between Normal Cloud Models |
| title_full_unstemmed | Approach for Text Classification Based on the Similarity Measurement between Normal Cloud Models |
| title_short | Approach for Text Classification Based on the Similarity Measurement between Normal Cloud Models |
| title_sort | approach for text classification based on the similarity measurement between normal cloud models |
| url | http://dx.doi.org/10.1155/2014/784392 |
| work_keys_str_mv | AT jindai approachfortextclassificationbasedonthesimilaritymeasurementbetweennormalcloudmodels AT xinliu approachfortextclassificationbasedonthesimilaritymeasurementbetweennormalcloudmodels |