{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,5]],"date-time":"2025-12-05T23:40:30Z","timestamp":1764978030401,"version":"3.46.0"},"reference-count":15,"publisher":"Walter de Gruyter GmbH","issue":"1","license":[{"start":{"date-parts":[[2019,4,24]],"date-time":"2019-04-24T00:00:00Z","timestamp":1556064000000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,12,18]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>Literature scripts can be compared to paintings, in an artistic way as well as in the perspective of financial value, whereas the value of these scripts rise and fall depending on their author\u2019s popularity. Authors\u2019 scripts represent a specific style of writing that can be measured and compared using a text mining field called Stylometric. Stylometric analysis depends on some features called authorship attributes, and these attributes or features can be used in special algorithms and methods to reach that aim. Generally, each method selected in the Stylometric field uses a variety of attributes to reach higher prediction accuracy. The aim of this research is to improve the accuracy of authorship prediction in literary works based on the artistic writing style of the authors. To achieve that, a new set of attributes will be used with the Stylometric Authorship Balanced Attribution method, which was chosen in this research among several other machine language methods because of its delicateness in authorship prediction projects. The attributes that have been used by most of the researchers were word frequencies (single word, pair of words, or trio of words), which led to some prediction mistakes. In this research, a new set of attributes is used to decrease these mistakes. These proposed non-word attributes are named sentence length, special characters, and punctuation symbols. The results obtained by using these proposed attributes were excellent.<\/jats:p>","DOI":"10.1515\/jisys-2019-0068","type":"journal-article","created":{"date-parts":[[2019,4,24]],"date-time":"2019-04-24T05:41:00Z","timestamp":1556084460000},"page":"1408-1415","source":"Crossref","is-referenced-by-count":1,"title":["Non-word Attributes\u2019 Efficiency in Text Mining Authorship Prediction"],"prefix":"10.1515","volume":"29","author":[{"given":"Tareef Kamil","family":"Mustafa","sequence":"first","affiliation":[{"name":"Department of Computer Science , College of Science, University of Baghdad , Baghdad , Iraq"}]}],"member":"374","published-online":{"date-parts":[[2019,4,24]]},"reference":[{"key":"2025120523341684873_j_jisys-2019-0068_ref_001","unstructured":"A. A. Abdul-Razzaq and T. K. Mustafa, Burrows-Delta method fitness for Arabic text authorship Stylometric detection, IJCSMC 3 (2014), 69\u201378."},{"key":"2025120523341684873_j_jisys-2019-0068_ref_002","doi-asserted-by":"crossref","unstructured":"A. Brand, L. Allen, M. Altman, M. Hlava and J. Scott, Beyond authorship: attribution, contribution, collaboration, and credit, Learned Publishing Journal 28 (2015), 151\u2013155.","DOI":"10.1087\/20150211"},{"key":"2025120523341684873_j_jisys-2019-0068_ref_003","doi-asserted-by":"crossref","unstructured":"S. Evert, T. Proisl, F. Jannidis, I. Reger, S. P. Christof and T. Vitt, Understanding and explaining Delta measures for authorship attribution, Digit. Scholarsh. Humanit. 32 (2017), 4\u201316.","DOI":"10.1093\/llc\/fqx023"},{"key":"2025120523341684873_j_jisys-2019-0068_ref_004","doi-asserted-by":"crossref","unstructured":"M. T. Jamil and T. K. Mustafa, Ranking attribution: a novel method for Stylometric authorship identification, IJACST 9 (2018), 54\u201361.","DOI":"10.14569\/IJACSA.2018.090709"},{"key":"2025120523341684873_j_jisys-2019-0068_ref_005","doi-asserted-by":"crossref","unstructured":"P. Juola, Authorship attribution, Found. Trends. Inf. Ret. 1 (2008), 233\u2013334.","DOI":"10.1561\/1500000005"},{"key":"2025120523341684873_j_jisys-2019-0068_ref_006","unstructured":"K. J. Kim, Information Science and Applications, Kyonggi University Publications, Suwon, South Korea, 2015."},{"key":"2025120523341684873_j_jisys-2019-0068_ref_007","doi-asserted-by":"crossref","unstructured":"C. Klaussner, J. Nerbonne and C. \u00c7\u00f6ltekin, Finding characteristic features in Stylometric analysis, Digit. Scholarsh. Humanit 30 (2015), 114\u2013129.","DOI":"10.1093\/llc\/fqv048"},{"key":"2025120523341684873_j_jisys-2019-0068_ref_008","doi-asserted-by":"crossref","unstructured":"L. Lakshmi and K. P. Pushpendra, A study on author dentification through Stylometry, IJCSN 2 (2013), 653\u2013657.","DOI":"10.1109\/ICIII.2013.6703248"},{"key":"2025120523341684873_j_jisys-2019-0068_ref_009","doi-asserted-by":"crossref","unstructured":"V. Landeiro, D. Reis and A. Culotta, Robust text classification in the presence of confounding bias, in: Proceedings of the 13 AAAI Conference on Artificial Intelligence, pp. 186\u2013193, 2016.","DOI":"10.1609\/aaai.v30i1.9997"},{"key":"2025120523341684873_j_jisys-2019-0068_ref_010","unstructured":"T. K. Mustafa, Stylometric authorship balanced attribution prediction method, Thesis, University Putra Malaysia, Malaysia, 2011."},{"key":"2025120523341684873_j_jisys-2019-0068_ref_011","unstructured":"T. K. Mustafa, Text mining authorship detection methods development, in: Proceedings of the 288th Academicsera International Conference, pp. 3\u20138, 2018."},{"key":"2025120523341684873_j_jisys-2019-0068_ref_012","doi-asserted-by":"crossref","unstructured":"T. K. Mustafa, A. A. Abdul Razzaq and E. A. Al-Zubaidi, Authorship Arabic text detection according to style of writing by using (SABA) method, AJAST 5 (2017), 483\u2013490.","DOI":"10.24203\/ajas.v5i2.4750"},{"key":"2025120523341684873_j_jisys-2019-0068_ref_013","doi-asserted-by":"crossref","unstructured":"Y. J. M. Pokou, P. Fournier-Viger and C. Moghrabi, Authorship attribution using variable length part-of-speech patterns, in:Proceedings of the 8th International Conference on Agents and Artificial Intelligence, pp. 354\u2013361, 2016.","DOI":"10.5220\/0005710103540361"},{"key":"2025120523341684873_j_jisys-2019-0068_ref_014","doi-asserted-by":"crossref","unstructured":"U. Sapkota, T. Solorio, M. Montes and S. Bethard, Domain adaptation for authorship attribution: improved structural correspondence learning, in: Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 1, pp. 2226\u20132235, 2016.","DOI":"10.18653\/v1\/P16-1210"},{"key":"2025120523341684873_j_jisys-2019-0068_ref_015","unstructured":"Y. Zhao and J. Zobel, Searching with style: authorship attribution in classic literature, in: Proceedings of the 30th Australasian Computer Science Conference, pp. 59\u201368, 2006."}],"container-title":["Journal of Intelligent Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.degruyter.com\/view\/journals\/jisys\/29\/1\/article-p1408.xml","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.degruyterbrill.com\/document\/doi\/10.1515\/jisys-2019-0068\/xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.degruyterbrill.com\/document\/doi\/10.1515\/jisys-2019-0068\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,5]],"date-time":"2025-12-05T23:35:41Z","timestamp":1764977741000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.degruyterbrill.com\/document\/doi\/10.1515\/jisys-2019-0068\/html"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,4,24]]},"references-count":15,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2019,9,20]]},"published-print":{"date-parts":[[2019,12,18]]}},"alternative-id":["10.1515\/jisys-2019-0068"],"URL":"https:\/\/doi.org\/10.1515\/jisys-2019-0068","relation":{},"ISSN":["2191-026X","0334-1860"],"issn-type":[{"type":"electronic","value":"2191-026X"},{"type":"print","value":"0334-1860"}],"subject":[],"published":{"date-parts":[[2019,4,24]]}}}