{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,4]],"date-time":"2026-04-04T12:08:34Z","timestamp":1775304514227,"version":"3.50.1"},"reference-count":38,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2018,12,11]],"date-time":"2018-12-11T00:00:00Z","timestamp":1544486400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2018,12,11]],"date-time":"2018-12-11T00:00:00Z","timestamp":1544486400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Wireless Netw"],"published-print":{"date-parts":[[2022,4]]},"DOI":"10.1007\/s11276-018-01909-0","type":"journal-article","created":{"date-parts":[[2018,12,11]],"date-time":"2018-12-11T12:56:35Z","timestamp":1544532995000},"page":"1251-1261","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["NgramPOS: a bigram-based linguistic and statistical feature process model for unstructured text classification"],"prefix":"10.1007","volume":"28","author":[{"given":"Sepideh","family":"Foroozan Yazdani","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhiyuan","family":"Tan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mohsen","family":"Kakavand","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Aida","family":"Mustapha","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,12,11]]},"reference":[{"issue":"1","key":"1909_CR1","doi-asserted-by":"publisher","first-page":"34","DOI":"10.1086\/294743","volume":"38","author":"EF Fama","year":"1965","unstructured":"Fama, E. F. (1965). The behavior of stock-market prices. Journal of Business, 38(1), 34\u2013105.","journal-title":"Journal of Business"},{"issue":"3","key":"1909_CR2","doi-asserted-by":"publisher","first-page":"1139","DOI":"10.1111\/j.1540-6261.2007.01232.x","volume":"62","author":"PC Tetlock","year":"2007","unstructured":"Tetlock, P. C. (2007). Giving content to investor sentiment: The role of media in the stock market. Journal of Finance, 62(3), 1139\u20131168.","journal-title":"Journal of Finance"},{"key":"1909_CR3","first-page":"143","volume":"29","author":"F Li","year":"2010","unstructured":"Li, F. (2010). Textual analysis of corporate disclosures: A survey of the literature. Accounting literature, 29, 143\u2013165.","journal-title":"Accounting literature"},{"key":"1909_CR4","doi-asserted-by":"publisher","first-page":"685","DOI":"10.1016\/j.dss.2013.02.006","volume":"55","author":"M Hagenau","year":"2013","unstructured":"Hagenau, M., Liebmann, M., & Neumann, D. (2013). Automated news reading: Stock price prediction based on financial news using context-specific features. Decision Support Systems, 55, 685\u2013697.","journal-title":"Decision Support Systems"},{"issue":"1","key":"1909_CR5","doi-asserted-by":"publisher","first-page":"306","DOI":"10.1016\/j.eswa.2014.08.004","volume":"42","author":"A Khadjeh Nassirtoussi","year":"2015","unstructured":"Khadjeh Nassirtoussi, A., Aghabozorgi, S., Ying Wah, T., & Ngo, D. C. L. (2015). Text mining of news-headlines for FOREX market prediction: A multi-layer dimension reduction algorithm with semantics and sentiment. Expert Systems With Applications, 42(1), 306\u2013324.","journal-title":"Expert Systems With Applications"},{"key":"1909_CR6","first-page":"297","volume":"20","author":"M Koppel","year":"2006","unstructured":"Koppel, M., & Shtrimberg, I. (2006). Good news or bad news? Let the market decide. Computing Attitude and Affect in Text: Theory and Applications, 20, 297\u2013301.","journal-title":"Computing Attitude and Affect in Text: Theory and Applications"},{"issue":"4","key":"1909_CR7","doi-asserted-by":"publisher","first-page":"680","DOI":"10.1016\/j.dss.2010.08.019","volume":"50","author":"SS Groth","year":"2011","unstructured":"Groth, S. S., & Muntermann, J. (2011). An intraday market risk management approach based on textual analysis. Decision Support Systems, 50(4), 680\u2013691.","journal-title":"Decision Support Systems"},{"issue":"4","key":"1909_CR8","doi-asserted-by":"publisher","first-page":"919","DOI":"10.1016\/j.dss.2012.12.028","volume":"55","author":"Y Yu","year":"2013","unstructured":"Yu, Y., Duan, W., & Cao, Q. (2013). The impact of social and conventional media on firm equity value: A sentiment analysis approach. Decision Support Systems, 55(4), 919\u2013926.","journal-title":"Decision Support Systems"},{"key":"1909_CR9","doi-asserted-by":"crossref","unstructured":"G\u00e9n\u00e9reux, M., Poibeau, T., & Koppel, M. (2011). Sentiment analysis using automatically labelled financial news items. In Affective computing and sentiment analysis (Vol. 45, no. 2, pp. 101\u2013114). The series Text, Speech and Language Technology, Springer.","DOI":"10.1007\/978-94-007-1757-2_9"},{"key":"1909_CR10","unstructured":"Zhai, J. J., Cohen, N., & Atreya, A. (2011). CS224N final project: Sentiment analysis of news articles for financial signal prediction (pp. 1\u20138). https:\/\/nlp.stanford.edu\/courses\/cs224n\/2011\/reports\/nccohen-aatreya-jameszjj.pdf."},{"issue":"10","key":"1909_CR11","doi-asserted-by":"publisher","first-page":"1427","DOI":"10.1016\/j.camwa.2012.09.011","volume":"65","author":"V Pestov","year":"2013","unstructured":"Pestov, V. (2013). Is the k-NN classifier in high dimensions affected by the curse of dimensionality? Computers & Mathematics with Applications, 65(10), 1427\u20131437.","journal-title":"Computers & Mathematics with Applications"},{"key":"1909_CR12","doi-asserted-by":"crossref","unstructured":"Joshi, K., Bharathi, H. N., & Jyothi, R. (2016). Stock trend prediction using news sentiment analysis. CoRR. abs\/1607.0.","DOI":"10.5121\/ijcsit.2016.8306"},{"key":"1909_CR13","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2017.10.028","author":"MY Chen","year":"2017","unstructured":"Chen, M. Y., & Chen, T. H. (2017). Modeling public mood and emotion: Blog and news sentiment and socio-economic phenomena. Future Generation Computing Systems.\u00a0 https:\/\/doi.org\/10.1016\/j.future.2017.10.028.","journal-title":"Future Generation Computing Systems"},{"issue":"2017","key":"1909_CR14","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1016\/j.dss.2016.10.006","volume":"94","author":"SWK Chan","year":"2017","unstructured":"Chan, S. W. K., & Chong, M. W. C. (2017). Sentiment analysis in financial texts. Decision Support Systems, 94(2017), 53\u201364.","journal-title":"Decision Support Systems"},{"key":"1909_CR15","volume-title":"Sentiment analysis for financial news","author":"A Mayne","year":"2010","unstructured":"Mayne, A. (2010). Sentiment analysis for financial news. Sydney: University of Sydney."},{"issue":"3","key":"1909_CR16","first-page":"34","volume":"31","author":"S Foroozan Yazdani","year":"2016","unstructured":"Foroozan Yazdani, S., Murad, M. A. A., Sharef, N. M., Singh, Y. P., & Latiff, A. R. A. (2016). Sentiment classification of financial news using statistical features. International Journal of Pattern Recognition and Artificial Intelligence, 31(3), 34.","journal-title":"International Journal of Pattern Recognition and Artificial Intelligence"},{"key":"1909_CR17","doi-asserted-by":"crossref","unstructured":"Pederson, T. (2001). A decision tree of bigrams is an accurate predictor of word sence. In Proceeding of the second NAACL (pp. 79\u201386).","DOI":"10.3115\/1073336.1073347"},{"key":"1909_CR18","doi-asserted-by":"crossref","unstructured":"Dave, K., Way, I., Lawrence, S., & Pennock, D. M. (2003). Mining the peanut gallery: Opinion extraction and semantic classification of product reviews, In Proceedings of the 12th International World Wide Web Conference, Budapest, (pp. 519\u2013528). \u00a0","DOI":"10.1145\/775152.775226"},{"key":"1909_CR19","unstructured":"Mejova, Y., & Srinivasan, P. (2011). Exploring feature definition and selection for sentiment classifiers. In Fifth international AAAI conference on weblogs and social media (pp. 546\u2013549)."},{"issue":"4","key":"1909_CR20","doi-asserted-by":"publisher","first-page":"721","DOI":"10.1109\/TPAMI.2008.110","volume":"31","author":"MLM Lan","year":"2009","unstructured":"Lan, M. L. M., Tan, C. L. T. C. L., Su, J. S. J., & Lu, Y. L. Y. (2009). Supervised and traditional term weighting methods for automatic text categorization. IEEE Transactions on Pattern Analysis and Machine Intelligence, 31(4), 721\u2013735.","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"1909_CR21","doi-asserted-by":"publisher","first-page":"261","DOI":"10.1007\/978-3-319-02741-8_23","volume":"271","author":"N Pham Xuan","year":"2014","unstructured":"Pham Xuan, N., & Le Quang, H. (2014). A new improved term weighting scheme for text categorization. Advances in Intelligent Systems and Computing, 271, 261\u2013270.","journal-title":"Advances in Intelligent Systems and Computing"},{"key":"1909_CR22","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/505282.505283","volume":"34","author":"F Sebastiani","year":"2002","unstructured":"Sebastiani, F. (2002). Machine learning in automated text categorization. ACM Computing Surveys, 34, 1\u201347.","journal-title":"ACM Computing Surveys"},{"key":"1909_CR23","doi-asserted-by":"publisher","first-page":"247","DOI":"10.1016\/j.proenv.2012.03.024","volume":"14","author":"A-I Petri\u015for","year":"2012","unstructured":"Petri\u015for, A.-I., Iano\u015f, I., Iurea, D., & V\u0103idianu, M.-N. (2012). Applications of principal component analysis integrated with GIS. Procedia Environmental Sciences, 14, 247\u2013256.","journal-title":"Procedia Environmental Sciences"},{"key":"1909_CR24","unstructured":"Alpaydin, E. (2010). Introduction to machine learning, 2nd Edn. The MIT Press. \u00a0"},{"issue":"16","key":"1909_CR25","doi-asserted-by":"publisher","first-page":"7653","DOI":"10.1016\/j.eswa.2014.06.009","volume":"41","author":"A Khadjeh Nassirtoussi","year":"2014","unstructured":"Khadjeh Nassirtoussi, A., Aghabozorgi, S., Ying Wah, T., & Ngo, D. C. L. (2014). Text mining for market prediction: A systematic review. Expert Systems with Applications, 41(16), 7653\u20137670.","journal-title":"Expert Systems with Applications"},{"issue":"2","key":"1909_CR26","first-page":"137","volume":"1398","author":"T Joachims","year":"1998","unstructured":"Joachims, T. (1998). Text categorization with support vector machines: Learning with many relevant features. Machine Learning: ECML-98, 1398(2), 137\u2013142.","journal-title":"Machine Learning: ECML-98"},{"key":"1909_CR27","doi-asserted-by":"crossref","unstructured":"Hajek, P., & Henriques, R. (2017). Mining corporate annual reports for intelligent detection of financial statement fraud\u2014A comparative study of machine learning methods. Knowledge-Based Systems, 128, 139-152. \u00a0","DOI":"10.1016\/j.knosys.2017.05.001"},{"issue":"3","key":"1909_CR28","doi-asserted-by":"crossref","first-page":"273","DOI":"10.1023\/A:1022627411411","volume":"20","author":"C Cortes","year":"1995","unstructured":"Cortes, C., & Vapnik, V. (1995). Support-vector networks. Machine Learning, 20(3), 273\u2013297.","journal-title":"Machine Learning"},{"key":"1909_CR29","doi-asserted-by":"crossref","unstructured":"Sch\u00f6lkopf, B., & Smola, A. (2005). Support vector machines and kernel algorithms (pp. 1\u201322).","DOI":"10.1002\/0470011815.b2a14038"},{"key":"1909_CR30","unstructured":"Ooi, H. S., Schneider, G., Lim, T., Chan, Y., Eisenhaber, B., & Eisenhaber, F. (2010). Data mining techniques for the life sciences (vol. 609, pp 327\u2013348). \u00a0New York: Humana Press and Springer Bussiness Media."},{"issue":"1","key":"1909_CR31","first-page":"1","volume":"1","author":"C Hsu","year":"2010","unstructured":"Hsu, C., Chang, C., & Lin, C. (2010). A practical guide to support vector classification. Bioinformatics, 1(1), 1\u201316.","journal-title":"Bioinformatics"},{"key":"1909_CR32","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4614-7138-7","volume-title":"An introduction to statistical learning","author":"G James","year":"2013","unstructured":"James, G., Witten, D., Hastie, T., & Tibshirani, R. (2013). An introduction to statistical learning. New York: Springer."},{"issue":"12","key":"1909_CR33","first-page":"1137","volume":"14","author":"R Kohavi","year":"1995","unstructured":"Kohavi, R. (1995). A study of cross-validation and bootstrap for accuracy estimation and model selection. International Joint Conference on Artificial Intelligence, 14(12), 1137\u20131143.","journal-title":"International Joint Conference on Artificial Intelligence"},{"key":"1909_CR34","doi-asserted-by":"crossref","unstructured":"Taylor, A., Marcus, M., & Santorini, B. (2003). The Penn Treebank: an overview. Treebanks 5\u201322.","DOI":"10.1007\/978-94-010-0201-1_1"},{"key":"1909_CR35","unstructured":"Benamara, F., Cesarano, C., & Reforgiato, D. (2007). Sentiment analysis: Adjectives and adverbs are better than adjectives alone. In Proceedings of the International Conference on Weblogs and Social Media(ICWSM), (pp. 1\u20134). \u00a0"},{"key":"1909_CR36","doi-asserted-by":"crossref","unstructured":"Turney, P. D. (2002). Thumbs up or thumbs down? Semantic orientation applied to unsupervised classification of reviews. In Proceedings of the 40th Annual Meeting of the Association Computational Linguistics (pp. 417\u2013424).","DOI":"10.3115\/1073083.1073153"},{"issue":"4","key":"1909_CR37","first-page":"315","volume":"21","author":"V Hatzivassiloglou","year":"2009","unstructured":"Hatzivassiloglou, V., McKeown, K. R., Pang, B., Lee, L., Vaithyanathan, S., Ku, L.-W., et al. (2009). Predicting the semantic orientation of adjectives. ACM Transactions on Information Systems, 21(4), 315\u2013346.","journal-title":"ACM Transactions on Information Systems"},{"key":"1909_CR38","volume-title":"Data mining (concepts and techniques)","author":"J Han","year":"2006","unstructured":"Han, J., & Kamber, M. (2006). Data mining (concepts and techniques). Burlington: Elsevier (Morgan Kaufmann)."}],"container-title":["Wireless Networks"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11276-018-01909-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11276-018-01909-0\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11276-018-01909-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,4]],"date-time":"2026-04-04T11:25:50Z","timestamp":1775301950000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11276-018-01909-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,12,11]]},"references-count":38,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2022,4]]}},"alternative-id":["1909"],"URL":"https:\/\/doi.org\/10.1007\/s11276-018-01909-0","relation":{},"ISSN":["1022-0038","1572-8196"],"issn-type":[{"value":"1022-0038","type":"print"},{"value":"1572-8196","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,12,11]]},"assertion":[{"value":"11 December 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}