{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,6]],"date-time":"2026-01-06T04:53:36Z","timestamp":1767675216850,"version":"3.37.3"},"publisher-location":"Cham","reference-count":15,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030242886"},{"type":"electronic","value":"9783030242893"}],"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\/978-3-030-24289-3_43","type":"book-chapter","created":{"date-parts":[[2019,6,28]],"date-time":"2019-06-28T11:03:03Z","timestamp":1561719783000},"page":"579-588","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Polarity Classification of Tweets Considering the Poster\u2019s Emotional Change by a Combination of Naive Bayes and LSTM"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2069-3759","authenticated-orcid":false,"given":"Kiichi","family":"Tago","sequence":"first","affiliation":[]},{"given":"Kosuke","family":"Takagi","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1325-4275","authenticated-orcid":false,"given":"Qun","family":"Jin","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,6,29]]},"reference":[{"key":"43_CR1","doi-asserted-by":"crossref","unstructured":"Beasley, A., Mason, W.: Emotional states vs. emotional words in social media. In: Proceedings of ACM Web Science Conference, WebSci 2015, pp. 1\u201310. ACM, New York, NY, USA (2015)","DOI":"10.1145\/2786451.2786473"},{"issue":"10","key":"43_CR2","doi-asserted-by":"publisher","first-page":"1545","DOI":"10.1093\/scan\/nsx096","volume":"12","author":"LM Braunstein","year":"2017","unstructured":"Braunstein, L.M., Gross, J.J., Ochsner, K.N.: Explicit and implicit emotion regulation: a multi-level framework. Soc. Cogn. Affect. Neurosci. 12(10), 1545\u20131557 (2017)","journal-title":"Soc. Cogn. Affect. Neurosci."},{"key":"43_CR3","unstructured":"Elfajr, N.M., Sarno, R.: Sentiment analysis using weighted emoticons and sentiwordnet for Indonesian language. In: Proceedings of 2018 International Seminar on Application for Technology of Information and Communication, pp. 234\u2013238 (2018)"},{"key":"43_CR4","doi-asserted-by":"crossref","unstructured":"Fujita, M., Watanabe, J., Kawamoto, K., Akitomi, T., Ara, K.: A method for analyzing influence of emotions of posts in SNS conversations. In: Proceedings of International Conference on Social Intelligence and Technology, pp. 20\u201327, May 2013","DOI":"10.1109\/SOCIETY.2013.8"},{"key":"43_CR5","unstructured":"Go, A., Bhayani, R., Huang, L.: Twitter sentiment classification using distant supervision. CS224N Project report, pp. 1\u20136, Stanford (2009)"},{"key":"43_CR6","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"403","DOI":"10.1007\/978-3-319-62416-7_29","volume-title":"Machine Learning and Data Mining in Pattern Recognition","author":"A Huang","year":"2017","unstructured":"Huang, A., Ebert, D., Rider, P.: You are what you tweet: a new hybrid model for sentiment analysis. In: Perner, P. (ed.) MLDM 2017. LNCS (LNAI), vol. 10358, pp. 403\u2013416. Springer, Cham (2017). \n                      https:\/\/doi.org\/10.1007\/978-3-319-62416-7_29"},{"key":"43_CR7","doi-asserted-by":"crossref","unstructured":"Hulliyah, K., Bakar, N.S.A.A., Ismail, A.R.: Emotion recognition and brain mapping for sentiment analysis: a review. In: Proceedings of 2017 Second International Conference on Informatics and Computing (ICIC2017), pp. 1\u20135, November 2017","DOI":"10.1109\/IAC.2017.8280568"},{"key":"43_CR8","doi-asserted-by":"crossref","unstructured":"Kramer, A.D.: An unobtrusive behavioral model of \u201cgross national happiness\u201d. In: Proceedings of SIGCHI Conference on Human Factors in Computing Systems, CHI 2010, pp. 287\u2013290. ACM, New York, NY, USA (2010)","DOI":"10.1145\/1753326.1753369"},{"key":"43_CR9","doi-asserted-by":"crossref","unstructured":"Nguyen, L.T., Wu, P., Chan, W., Peng, W., Zhang, Y.: Predicting collective sentiment dynamics from time-series social media. In: Proceedings of First International Workshop on Issues of Sentiment Discovery and Opinion Mining, pp. 1\u20138. ACM, New York, NY, USA (2012)","DOI":"10.1145\/2346676.2346682"},{"key":"43_CR10","unstructured":"Saif, H., Fernandez, M., He, Y., Alani, H.: Evaluation datasets for twitter sentiment analysis: a survey and a new dataset, the STS-gold. In: Proceedings of 1st International Workshop on Emotion and Sentiment in Social and Expressive Media: Approaches and Perspectives from AI (ESSEM2013), pp. 9\u201321 (2013)"},{"key":"43_CR11","doi-asserted-by":"crossref","unstructured":"Su, M., Wu, C., Huang, K., Hong, Q.: LSTM-based text emotion recognition using semantic and emotional word vectors. In: Proceedings of First Asian Conference on Affective Computing and Intelligent Interaction (ACII Asia), pp. 1\u20136, May 2018","DOI":"10.1109\/ACIIAsia.2018.8470378"},{"key":"43_CR12","doi-asserted-by":"publisher","first-page":"1263","DOI":"10.1007\/s11280-018-0587-9","volume":"22","author":"K Tago","year":"2018","unstructured":"Tago, K., Takagi, K., Kasuya, S., Jin, Q.: Analyzing influence of emotional tweets on user relationships using naive bayes and dependency parsing. World Wide Web 22, 1263\u20131278 (2018)","journal-title":"World Wide Web"},{"key":"43_CR13","doi-asserted-by":"crossref","unstructured":"Uysal, A.K., Murphey, Y.L.: Sentiment classification: feature selection based approaches versus deep learning. In: Proceedings of IEEE International Conference on Computer and Information Technology (CIT2017), pp. 23\u201330, August 2017","DOI":"10.1109\/CIT.2017.53"},{"key":"43_CR14","doi-asserted-by":"crossref","unstructured":"Vateekul, P., Koomsubha, T.: A study of sentiment analysis using deep learning techniques on Thai twitter data. In: Proceedings of 13th International Joint Conference on Computer Science and Software Engineering (JCSSE2016), pp. 1\u20136, July 2016","DOI":"10.1109\/JCSSE.2016.7748849"},{"key":"43_CR15","doi-asserted-by":"crossref","unstructured":"Wagh, R., Punde, P.: Survey on sentiment analysis using twitter dataset. In: Proceedings of 2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA2018), pp. 208\u2013211, March 2018","DOI":"10.1109\/ICECA.2018.8474783"}],"container-title":["Lecture Notes in Computer Science","Computational Science and Its Applications \u2013 ICCSA 2019"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-24289-3_43","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,6,28]],"date-time":"2019-06-28T11:13:22Z","timestamp":1561720402000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-24289-3_43"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030242886","9783030242893"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-24289-3_43","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"29 June 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICCSA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Computational Science and Its Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Saint Petersburg","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Russia","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":"1 July 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4 July 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iccsa2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.iccsa.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}