{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,10]],"date-time":"2026-06-10T15:29:52Z","timestamp":1781105392369,"version":"3.54.1"},"reference-count":15,"publisher":"IGI Global Scientific Publishing","issue":"2","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2011,4,1]]},"abstract":"<p>E-shopping customers, blog authors, reviewers, and other web contributors can express their opinions of a purchased item, film, book, and so forth. Typically, various opinions are centered around one topic (e.g., a commodity, film, etc.). From the Business Intelligence viewpoint, such entries are very valuable; however, they are difficult to automatically process because they are in a natural language. Human beings can distinguish the various opinions. Because of the very large data volumes, could a machine do the same? The suggested method uses the machine-learning (ML) based approach to this classification problem, demonstrating via real-world data that a machine can learn from examples relatively well. The classification accuracy is better than 70%; it is not perfect because of typical problems associated with processing unstructured textual items in natural languages. The data characteristics and experimental results are shown.<\/p>","DOI":"10.4018\/ijom.2011040105","type":"journal-article","created":{"date-parts":[[2011,10,19]],"date-time":"2011-10-19T12:43:10Z","timestamp":1319028190000},"page":"68-77","source":"Crossref","is-referenced-by-count":3,"title":["Automatic Categorization of Reviews and Opinions of Internet"],"prefix":"10.4018","volume":"1","author":[{"given":"Jan","family":"\u017di\u017eka","sequence":"first","affiliation":[{"name":"Mendel University in Brno, Czech Republic"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Vadim","family":"Rukavitsyn","sequence":"additional","affiliation":[{"name":"Mendel University in Brno, Czech Republic"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2432","reference":[{"key":"ijom.2011040105-0","author":"S.Abney","year":"2008","journal-title":"Semisupervised learning for computational linguistics"},{"key":"ijom.2011040105-1","author":"E.Alpaydin","year":"2010","journal-title":"Introduction to machine learning"},{"key":"ijom.2011040105-2","author":"M. 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In Proceedings of the 14th International Conference on Machine Learning (pp. 179-186)."},{"key":"ijom.2011040105-8","author":"T.Mitchell","year":"1997","journal-title":"Machine learning"},{"key":"ijom.2011040105-9","unstructured":"Rukavitsyn, V., & \u017di\u017eka, J. (2010). Opinion classification in text entries using machine-learning approach. In Proceedings of the ISDMCI International Conference (pp. 283-288)."},{"key":"ijom.2011040105-10","doi-asserted-by":"publisher","DOI":"10.1145\/505282.505283"},{"key":"ijom.2011040105-11","doi-asserted-by":"crossref","DOI":"10.1201\/9781420059458","author":"A. N.Srivastava","year":"2009","journal-title":"Text mining: Classification, clustering, and applications"},{"key":"ijom.2011040105-12","author":"S.Theodoridis","year":"2009","journal-title":"Pattern recognition"},{"key":"ijom.2011040105-13","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4757-3264-1","author":"V. N.Vapnik","year":"2000","journal-title":"The nature of statistical learning theory"},{"key":"ijom.2011040105-14","author":"I. H.Witten","year":"2005","journal-title":"Data mining: Practical machine learning tools and techniques"}],"container-title":["International Journal of Online Marketing"],"original-title":[],"language":"ng","link":[{"URL":"https:\/\/www.igi-global.com\/viewtitle.aspx?TitleId=54043","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T16:42:37Z","timestamp":1654101757000},"score":1,"resource":{"primary":{"URL":"https:\/\/services.igi-global.com\/resolvedoi\/resolve.aspx?doi=10.4018\/ijom.2011040105"}},"subtitle":["E-Shopping Customers"],"short-title":[],"issued":{"date-parts":[[2011,4,1]]},"references-count":15,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2011,4]]}},"URL":"https:\/\/doi.org\/10.4018\/ijom.2011040105","relation":{},"ISSN":["2156-1753","2156-1745"],"issn-type":[{"value":"2156-1753","type":"print"},{"value":"2156-1745","type":"electronic"}],"subject":[],"published":{"date-parts":[[2011,4,1]]}}}