The Distribution of Semantic Fields in Author’s Texts

1. Benaglia, T., D. Chauveau, D. R. Hunter, D. S. Young. Mixtools: An R Package for Analyzing Finite Mixture Models. - Journal of Statistical Software, Vol. 32, 2009, No 6, pp. 1-29.10.18637/jss.v032.i06Search in Google Scholar

2. Fellbaum, C. Word Net. An Electronic Lexical Database. Cambridge, MA, MIT Press, 1998.10.7551/mitpress/7287.001.0001Search in Google Scholar

3. Gliozzo, A., C. Strapparava. Semantic Domains in Computational Linguistics. Springer, 2009.10.1007/978-3-540-68158-8Search in Google Scholar

4. Hansen, L. K., S. Sigurdsson, T. Kolenda, F. A. Nielsen, U. Kjems, J. Larsen. Modeling Text with Generalizable Gaussian Mixtures. - In: Proc. of 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP’00), IEEE 2000, Vol. 6, 2000, pp. 3494-3497.Search in Google Scholar

5. Hofmann, T. Probabilistic Latent Semantic Indexing. - In: Proc. of 22nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, ACM, August 1999, pp. 50-57.10.1145/312624.312649Search in Google Scholar

6. Manning, C. D., P. Raghavan, H. Schütze. Introduction to Information Retrieval. Cambridge University Press, 2008.10.1017/CBO9780511809071Search in Google Scholar

7. Mei, Q., C. Zhai. A Mixture Model for Contextual Text Mining. - In: Proc. of 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, ACM, August 2006, pp. 649-655.10.1145/1150402.1150482Search in Google Scholar

8. Pantel, P., P. D. Turney. From Frequency to Meaning: Vector Space Models of Semantics. - Journal of Artificial Intelligence Research, Vol. 37, 2010, pp. 141-188.10.1613/jair.2934Search in Google Scholar

9. Pavlyshenko, B. Classification Analysis of Authorship Fiction Texts in the Space of Semantic Fields. - Journal of Quantitative Linguistics, Vol. 20, 2013, No 3, pp. 218-226.10.1080/09296174.2013.799914Search in Google Scholar

10. Pavlyshenko, B. Clustering of Authors’ Texts of English Fiction in the Vector Space of Semantic Fields. - Cybernetics and Information Technologies. Vol. 14, 2014, Issue 3, pp. 25-36.10.2478/cait-2014-0030Search in Google Scholar

11. R Core Team. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria, 2015. https://www.R-project.orgSearch in Google Scholar

12. Rosen-Zvi, M., T. Griffiths, M. Steyvers, P. Smyth. The Author-Topic Model for Authors and Documents. - In: Proc. of 20th Conference on Uncertainty in Artificial Intelligence, AUAI Press, July 2004, pp. 487-494.Search in Google Scholar

13. Sebastiani, F. Machine Learning in Automated Text Categorization. - ACM Computing Surveys, Vol. 34, 2002, pp. 1-47.10.1145/505282.505283Search in Google Scholar

14. Zhai, C., A. Velivelli, B. Yu. A Cross-Collection Mixture Model for Comparative Text Mining. - In: Proc. of 10th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, ACM, August 2004, pp. 743-748. 10.1145/1014052.1014150Search in Google Scholar