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The method of zonal correlation text analysis
- Source :
- Automatic Documentation and Mathematical Linguistics. 48:259-263
- Publication Year :
- 2014
- Publisher :
- Allerton Press, 2014.
-
Abstract
- This paper analyses the method of zonal correlation text analysis based on the comparison of the distribution of word counts in the J 1 zones of two or more texts. The compared texts are divided into the J 0, J 1, and J 2 zones in accordance with the previously developed interpretation of Bradford's law. A comparative analysis of the parameters of words that are contained in the J 1 text zones is performed. The distance, which points to the degree of semantic proximity of the compared texts, is calculated. The described method can be applied for automatic classification and author attribution of texts. In addition, it allows one to obtain adequate results based on a limited number of parameters.
- Subjects :
- Semantic proximity
business.industry
Computer science
computer.software_genre
Interpretation (model theory)
Correlation
Distribution (mathematics)
Text mining
Degree (angle)
Artificial intelligence
business
General Economics, Econometrics and Finance
computer
Word (computer architecture)
Natural language processing
Subjects
Details
- ISSN :
- 19348371 and 00051055
- Volume :
- 48
- Database :
- OpenAIRE
- Journal :
- Automatic Documentation and Mathematical Linguistics
- Accession number :
- edsair.doi...........a1661b1b28f9d26d955011a1d2551820