{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,10]],"date-time":"2026-06-10T15:02:22Z","timestamp":1781103742618,"version":"3.54.1"},"reference-count":43,"publisher":"IGI Global Scientific Publishing","issue":"4","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,10,1]]},"abstract":"<p>This article discusses polarity classification for financial news articles. The proposed Semantic Sentiment Analyser makes use of semantic similarity techniques, sentiment composition rules, and the Positivity\/Negativity (P\/N) ratio in performing polarity classification. An experiment was conducted to compare the performance of three semantic similarity metrics namely HSO, LESK, and LIN to find the semantically similar pair of word as the input word. The best similarity technique (HSO) is incorporated into the sentiment analyser to find the possible polarity carrier from the analysed text before performing polarity classification. The performance of the proposed Semantic Sentiment Analyser was evaluated using a set of manually annotated financial news articles. The results obtained from the experiment showed that the proposed SSA was able to achieve an F-Score of 90.89% for all cases classification.<\/p>","DOI":"10.4018\/ijiit.2018100103","type":"journal-article","created":{"date-parts":[[2018,8,8]],"date-time":"2018-08-08T10:18:01Z","timestamp":1533723481000},"page":"39-54","source":"Crossref","is-referenced-by-count":4,"title":["Improving Polarity Classification for Financial News Using Semantic Similarity Techniques"],"prefix":"10.4018","volume":"14","author":[{"given":"Tan Li","family":"Im","sequence":"first","affiliation":[{"name":"Universiti Malaysia Sabah, Kota Kinabalu, Malaysia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Phang Wai","family":"San","sequence":"additional","affiliation":[{"name":"Universiti Malaysia Sabah, Kota Kinabalu, Malaysia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Patricia","family":"Anthony","sequence":"additional","affiliation":[{"name":"Lincoln University, Christchurch, New Zealand"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chin Kim","family":"On","sequence":"additional","affiliation":[{"name":"Universiti Malaysia Sabah, Kota Kinabalu, Malaysia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2432","reference":[{"key":"IJIIT.2018100103-0","doi-asserted-by":"publisher","DOI":"10.1038\/srep03578"},{"key":"IJIIT.2018100103-1","unstructured":"Azar, P. D. (2009). Sentiment Analysis in Financial News [Thesis]. Harvard College, Cambridge, MA. Retrieved from http:\/\/people.csail.mit.edu\/azar\/wp-content\/uploads\/2011\/09\/thesis.pdf"},{"key":"IJIIT.2018100103-2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2014.10.004"},{"key":"IJIIT.2018100103-3","doi-asserted-by":"publisher","DOI":"10.1016\/j.jocs.2010.12.007"},{"key":"IJIIT.2018100103-4","doi-asserted-by":"publisher","DOI":"10.1162\/coli.2006.32.1.13"},{"key":"IJIIT.2018100103-5","doi-asserted-by":"publisher","DOI":"10.1016\/j.dss.2010.07.012"},{"key":"IJIIT.2018100103-6","doi-asserted-by":"publisher","DOI":"10.1111\/j.1540-6261.1993.tb05127.x"},{"key":"IJIIT.2018100103-7","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2015.04.004"},{"key":"IJIIT.2018100103-8","doi-asserted-by":"publisher","DOI":"10.1109\/ICISSEC.2015.7371008"},{"key":"IJIIT.2018100103-9","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2014.11.009"},{"key":"IJIIT.2018100103-10","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2014.05.001"},{"key":"IJIIT.2018100103-11","first-page":"305","article-title":"Lexical chains as representations of context for the detection and correction of malapropisms","author":"G.Hirst","year":"1998","journal-title":"WordNet: An electronic lexical database"},{"key":"IJIIT.2018100103-12","doi-asserted-by":"publisher","DOI":"10.1145\/1014052.1014073"},{"key":"IJIIT.2018100103-13","first-page":"19","article-title":"Semantic similarity based on corpus statistics and lexical taxonomy. In Proceedings","author":"J.Jiang","year":"1997","journal-title":"10th International Conference on Research in Computational Linguistics"},{"key":"IJIIT.2018100103-14","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2014.03.021"},{"key":"IJIIT.2018100103-15","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2015.02.007"},{"key":"IJIIT.2018100103-16","unstructured":"Klenner, M., Petrakis, S., & Fahrni, A. (2009). Robust Compositional Polarity Classification. In Proceedings: held in conjunction with the International Conference RANLP - 2009, September 14 - 16, Borovets, Bulgaria (pp. 180-184). Shoumen: INCOMA."},{"key":"IJIIT.2018100103-17","unstructured":"Kong, L., & Smith, N. A. (1994). An Empirical Comparison of Parsing Methods for Stanford Dependencies. Retrieved from http:\/\/arxiv.org\/pef\/1404.4314v1.pdf"},{"key":"IJIIT.2018100103-18","doi-asserted-by":"crossref","first-page":"265","DOI":"10.7551\/mitpress\/7287.003.0018","article-title":"Combining local content and WordNet similarity for word sense identification. Lexical chains as representations of context for the detection and correction of malapropisms","author":"C.Leacock","year":"1998","journal-title":"WordNet: An electronic lexical database"},{"key":"IJIIT.2018100103-19","doi-asserted-by":"publisher","DOI":"10.1155\/2014\/437162"},{"key":"IJIIT.2018100103-20","doi-asserted-by":"publisher","DOI":"10.1145\/318723.318728"},{"key":"IJIIT.2018100103-21","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-015-1812-4"},{"key":"IJIIT.2018100103-22","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2014.04.022"},{"key":"IJIIT.2018100103-23","first-page":"296","article-title":"An Information Theoretic Definition of Similarity.","author":"D.Lin","year":"1998","journal-title":"Fifteenth International Conference on Machine Learning (ICML \u201998)"},{"key":"IJIIT.2018100103-24","first-page":"175","article-title":"A WordNet-base Semantic Similarity Measure Enhanced by Internet-based Knowledge.","author":"G.Liu","year":"2011","journal-title":"23rd International Conference on Software Engineering and Knowledge Engineering (SEKE2011)"},{"key":"IJIIT.2018100103-25","doi-asserted-by":"publisher","DOI":"10.2308\/accr-50158"},{"key":"IJIIT.2018100103-26","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2014.09.003"},{"key":"IJIIT.2018100103-27","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2014.10.002"},{"key":"IJIIT.2018100103-28","doi-asserted-by":"publisher","DOI":"10.1086\/295352"},{"key":"IJIIT.2018100103-29","doi-asserted-by":"publisher","DOI":"10.14569\/IJARAI.2014.031101"},{"key":"IJIIT.2018100103-30","doi-asserted-by":"publisher","DOI":"10.3115\/1218955.1218990"},{"key":"IJIIT.2018100103-31","doi-asserted-by":"publisher","DOI":"10.1109\/HICSS.2015.119"},{"key":"IJIIT.2018100103-32","unstructured":"Resnick, P. (1995). Using information content to evaluate semantic similarity in a taxonomy. In Proceedings:14th International Joint Conference on Artificial Intelligence\u2013 Volume 1 (IJCAI \u201995) (pp. 448-453)."},{"key":"IJIIT.2018100103-33","doi-asserted-by":"publisher","DOI":"10.1016\/j.dss.2012.03.001"},{"key":"IJIIT.2018100103-34","unstructured":"Semantria. (2018). Sentiment Analysis. Retrieved Feb 2, 2018, from http:\/\/support.semantria.com\/customer\/en\/portal\/topics\/455664-sentiment-analysis\/articles"},{"key":"IJIIT.2018100103-35","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2014.03.024"},{"key":"IJIIT.2018100103-36","doi-asserted-by":"publisher","DOI":"10.1162\/COLI_a_00049"},{"key":"IJIIT.2018100103-37","doi-asserted-by":"publisher","DOI":"10.1109\/SMC.2015.283"},{"key":"IJIIT.2018100103-38","doi-asserted-by":"publisher","DOI":"10.1111\/j.1540-6261.2007.01232.x"},{"key":"IJIIT.2018100103-39","doi-asserted-by":"publisher","DOI":"10.1111\/j.1540-6261.2008.01362.x"},{"key":"IJIIT.2018100103-40","doi-asserted-by":"publisher","DOI":"10.3115\/1073083.1073153"},{"key":"IJIIT.2018100103-41","doi-asserted-by":"publisher","DOI":"10.3115\/1220575.1220619"},{"key":"IJIIT.2018100103-42","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2015.04.003"}],"container-title":["International Journal of Intelligent Information Technologies"],"original-title":[],"language":"ng","link":[{"URL":"https:\/\/www.igi-global.com\/viewtitle.aspx?TitleId=211191","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,8]],"date-time":"2024-07-08T21:24:39Z","timestamp":1720473879000},"score":1,"resource":{"primary":{"URL":"https:\/\/services.igi-global.com\/resolvedoi\/resolve.aspx?doi=10.4018\/IJIIT.2018100103"}},"subtitle":[""],"short-title":[],"issued":{"date-parts":[[2018,10,1]]},"references-count":43,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2018,10]]}},"URL":"https:\/\/doi.org\/10.4018\/ijiit.2018100103","relation":{},"ISSN":["1548-3657","1548-3665"],"issn-type":[{"value":"1548-3657","type":"print"},{"value":"1548-3665","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,10,1]]}}}