{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,20]],"date-time":"2026-02-20T18:28:06Z","timestamp":1771612086833,"version":"3.50.1"},"publisher-location":"Cham","reference-count":28,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030283735","type":"print"},{"value":"9783030283742","type":"electronic"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-030-28374-2_15","type":"book-chapter","created":{"date-parts":[[2019,8,27]],"date-time":"2019-08-27T19:02:44Z","timestamp":1566932564000},"page":"167-178","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Context-Based News Headlines Analysis Using Machine Learning Approach"],"prefix":"10.1007","author":[{"given":"Shadikur","family":"Rahman","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Syeda Sumbul","family":"Hossain","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Saiful","family":"Islam","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mazharul Islam","family":"Chowdhury","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fatama Binta","family":"Rafiq","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Khalid Been Md.","family":"Badruzzaman","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,8,9]]},"reference":[{"issue":"4","key":"15_CR1","doi-asserted-by":"publisher","first-page":"323","DOI":"10.1037\/xap0000028","volume":"20","author":"UK Ecker","year":"2014","unstructured":"Ecker, U.K., Lewandowsky, S., Chang, E.P., Pillai, R.: The effects of subtle misinformation in news headlines. J. Exp. Psychol. Appl. 20(4), 323 (2014)","journal-title":"J. Exp. Psychol. Appl."},{"issue":"2","key":"15_CR2","doi-asserted-by":"publisher","first-page":"356","DOI":"10.1111\/joes.12102","volume":"30","author":"M Nardo","year":"2016","unstructured":"Nardo, M., Petracco-Giudici, M., Naltsidis, M.: Walking down wall street with a tablet: a survey of stock market predictions using the web. J. Econ. Surv. 30(2), 356\u2013369 (2016)","journal-title":"J. Econ. Surv."},{"key":"15_CR3","doi-asserted-by":"publisher","first-page":"3578","DOI":"10.1038\/srep03578","volume":"3","author":"M Alanyali","year":"2013","unstructured":"Alanyali, M., Moat, H.S., Preis, T.: Quantifying the relationship between financial news and the stock market. Sci. Rep. 3, 3578 (2013)","journal-title":"Sci. Rep."},{"key":"15_CR4","doi-asserted-by":"crossref","unstructured":"Feuerriegel, S., Heitzmann, S.F., Neumann, D.: Do investors read too much into news? How news sentiment causes price formation. In: 2015 48th Hawaii International Conference on System Sciences, pp. 4803\u20134812. IEEE (2015)","DOI":"10.1109\/HICSS.2015.571"},{"key":"15_CR5","unstructured":"Rish, I., et al.: An empirical study of the Naive Bayes classifier. In: IJCAI 2001 Workshop on Empirical Methods in Artificial Intelligence, vol. 3, pp. 41\u201346 (2001)"},{"key":"15_CR6","unstructured":"Rennie, J.D., Shih, L., Teevan, J., Karger, D.R.: Tackling the poor assumptions of Naive Bayes text classifiers. In: Proceedings of the 20th International Conference on Machine Learning, ICML 2003, pp. 616\u2013623 (2003)"},{"key":"15_CR7","unstructured":"McCallum, A., Nigam, K., et al.: A comparison of event models for Naive Bayes text classification. In AAAI-98 Workshop on Learning for Text Categorization, vol. 752, pp. 41\u201348. Citeseer (1998)"},{"key":"15_CR8","first-page":"66","volume":"1","author":"TK Ho","year":"1994","unstructured":"Ho, T.K., Hull, J.J., Srihari, S.N.: Decision combination in multiple classifier systems. IEEE Trans. Pattern Anal. Mach. Intell. 1, 66\u201375 (1994)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"15_CR9","doi-asserted-by":"crossref","unstructured":"Bottou, L.: Large-scale machine learning with stochastic gradient descent. In: Lechevallier, Y., Saporta, G. (eds.) COMPSTAT 2010. Physica-Verlag HD (2010)","DOI":"10.1007\/978-3-7908-2604-3_16"},{"key":"15_CR10","unstructured":"Gunn, S.R., et al.: Support vector machines for classification and regression. ISIS technical report, vol. 14, no. 1, pp. 5\u201316 (1998)"},{"issue":"5","key":"15_CR11","doi-asserted-by":"publisher","first-page":"1207","DOI":"10.1162\/089976600300015565","volume":"12","author":"B Sch\u00f6lkopf","year":"2000","unstructured":"Sch\u00f6lkopf, B., Smola, A.J., Williamson, R.C., Bartlett, P.L.: New support vector algorithms. Neural Comput. 12(5), 1207\u20131245 (2000)","journal-title":"Neural Comput."},{"issue":"4","key":"15_CR12","doi-asserted-by":"publisher","first-page":"1093","DOI":"10.1016\/j.asej.2014.04.011","volume":"5","author":"W Medhat","year":"2014","unstructured":"Medhat, W., Hassan, A., Korashy, H.: Sentiment analysis algorithms and applications: a survey. Ain Shams Eng. J. 5(4), 1093\u20131113 (2014)","journal-title":"Ain Shams Eng. J."},{"key":"15_CR13","doi-asserted-by":"crossref","unstructured":"Pang, B., Lee, L., Vaithyanathan, S.: Thumbs up?: Sentiment classification using machine learning techniques. In: Proceedings of the ACL-02 Conference on Empirical Methods in Natural Language Processing, vol. 10, pp. 79\u201386. Association for Computational Linguistics (2002)","DOI":"10.3115\/1118693.1118704"},{"key":"15_CR14","doi-asserted-by":"crossref","unstructured":"Chiong, R., Fan, Z., Hu, Z., Adam, M.T., Lutz, B., Neumann, D.: A sentiment analysis-based machine learning approach for financial market prediction via news disclosures. In: Proceedings of the Genetic and Evolutionary Computation Conference Companion, pp. 278\u2013279. ACM (2018)","DOI":"10.1145\/3205651.3205682"},{"issue":"4","key":"15_CR15","first-page":"330","volume":"30","author":"DM El-Din Mohamed Hussein","year":"2018","unstructured":"El-Din Mohamed Hussein, D.M.: A survey on sentiment analysis challenges. J. King Saud. Univ. Eng. Sci. 30(4), 330\u2013338 (2018)","journal-title":"J. King Saud. Univ. Eng. Sci."},{"key":"15_CR16","doi-asserted-by":"crossref","unstructured":"Hu, M., Liu, B.: Mining and summarizing customer reviews. In: Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 168\u2013177. ACM (2004)","DOI":"10.1145\/1014052.1014073"},{"key":"15_CR17","doi-asserted-by":"crossref","unstructured":"Liu, B., Hu, M., Cheng, J.: Opinion observer: analyzing and comparing opinions on the web. In: Proceedings of the 14th International Conference on World Wide Web, pp. 342\u2013351. ACM (2005)","DOI":"10.1145\/1060745.1060797"},{"key":"15_CR18","doi-asserted-by":"crossref","unstructured":"Ding, X., Liu, B., Yu, P.S.: A holistic lexicon-based approach to opinion mining. In: Proceedings of the 2008 International Conference on Web Search and Data mining, pp. 231\u2013240. ACM (2008)","DOI":"10.1145\/1341531.1341561"},{"key":"15_CR19","unstructured":"Im, T.L., San, P.W., On, C.K., Alfred, R., Anthony, P.: Analysing market sentiment in financial news using lexical approach. In: 2013 IEEE Conference on Open Systems, ICOS, pp. 145\u2013149. IEEE (2013)"},{"key":"15_CR20","unstructured":"Godbole, N., Srinivasaiah, M., Skiena, S.: Large-scale sentiment analysis for news and blogs. In: ICWSM 2007, vol. 21, pp. 219\u2013222 (2007)"},{"key":"15_CR21","unstructured":"Maynard, D., Bontcheva, K., Rout, D.: Challenges in developing opinion mining tools for social media. In: Proceedings of the@ NLP can u tag# usergeneratedcontent, pp. 15\u201322 (2012)"},{"key":"15_CR22","doi-asserted-by":"crossref","unstructured":"Lerman, K., Gilder, A., Dredze, M., Pereira, F.: Reading the markets: forecasting public opinion of political candidates by news analysis. In: Proceedings of the 22nd International Conference on Computational Linguistics, vol. 1, pp. 473\u2013480. Association for Computational Linguistics (2008)","DOI":"10.3115\/1599081.1599141"},{"key":"15_CR23","unstructured":"Kim, S., Hovy, E.: Crystal: analyzing predictive opinions on the web. In: Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL) (2007)"},{"key":"15_CR24","series-title":"Advances in Intelligent Systems and Computing","doi-asserted-by":"publisher","first-page":"64","DOI":"10.1007\/978-981-10-8612-0_8","volume-title":"Proceedings of the 7th International Conference on Kansei Engineering and Emotion Research 2018","author":"SM Shuhidan","year":"2018","unstructured":"Shuhidan, S.M., Hamidi, S.R., Kazemian, S., Shuhidan, S.M., Ismail, M.A.: Sentiment analysis for financial news headlines using machine learning algorithm. Proceedings of the 7th International Conference on Kansei Engineering and Emotion Research 2018. AISC, vol. 739, pp. 64\u201372. Springer, Singapore (2018). \n                      https:\/\/doi.org\/10.1007\/978-981-10-8612-0_8"},{"key":"15_CR25","doi-asserted-by":"crossref","unstructured":"Severyn, A., Moschitti, A.: Twitter sentiment analysis with deep convolutional neural networks. In: Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 959\u2013962. ACM (2015)","DOI":"10.1145\/2766462.2767830"},{"key":"15_CR26","doi-asserted-by":"publisher","first-page":"236","DOI":"10.1016\/j.eswa.2017.02.002","volume":"77","author":"O Araque","year":"2017","unstructured":"Araque, O., Corcuera-Platas, I., Sanchez-Rada, J.F., Iglesias, C.A.: Enhancing deep learning sentiment analysis with ensemble techniques in social applications. Expert Syst. Appl. 77, 236\u2013246 (2017)","journal-title":"Expert Syst. Appl."},{"issue":"6","key":"15_CR27","doi-asserted-by":"publisher","first-page":"292","DOI":"10.1002\/widm.1171","volume":"5","author":"D Tang","year":"2015","unstructured":"Tang, D., Qin, B., Liu, T.: Deep learning for sentiment analysis: successful approaches and future challenges. Wiley Interdisc. Rev. Data Min. Knowl. Discov. 5(6), 292\u2013303 (2015)","journal-title":"Wiley Interdisc. Rev. Data Min. Knowl. Discov."},{"key":"15_CR28","series-title":"Text, Speech and Language Technology","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1007\/978-94-010-0201-1_1","volume-title":"Treebanks","author":"A Taylor","year":"2003","unstructured":"Taylor, A., Marcus, M., Santorini, B.: The Penn Treebank: an overview. In: Abeill\u00e9, A. (ed.) Treebanks. TLTB, vol. 20, pp. 5\u201322. Springer, Dordrecht (2003). \n                      https:\/\/doi.org\/10.1007\/978-94-010-0201-1_1"}],"container-title":["Lecture Notes in Computer Science","Computational Collective Intelligence"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-28374-2_15","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,27]],"date-time":"2019-08-27T19:06:39Z","timestamp":1566932799000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-28374-2_15"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030283735","9783030283742"],"references-count":28,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-28374-2_15","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"9 August 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICCCI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Computational Collective Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Hendaye","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"France","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4 September 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 September 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iccci2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/iccci.sigappfr.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}