{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T08:17:54Z","timestamp":1742977074293,"version":"3.40.3"},"publisher-location":"Cham","reference-count":17,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319701387"},{"type":"electronic","value":"9783319701394"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"unspecified","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":[[2017]]},"DOI":"10.1007\/978-3-319-70139-4_21","type":"book-chapter","created":{"date-parts":[[2017,10,28]],"date-time":"2017-10-28T01:24:18Z","timestamp":1509153858000},"page":"206-215","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Dynamic Forest Model for Sentiment Classification"],"prefix":"10.1007","author":[{"given":"Mingming","family":"Li","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiao","family":"Dai","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jizhong","family":"Han","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,10,29]]},"reference":[{"issue":"3","key":"21_CR1","doi-asserted-by":"publisher","first-page":"12","DOI":"10.1145\/1361684.1361685","volume":"26","author":"A Abbasi","year":"2008","unstructured":"Abbasi, A., Chen, H., Salem, A.: Sentiment analysis in multiple languages: feature selection for opinion classification in web forums. ACM Trans. Inf. Syst. (TOIS) 26(3), 12 (2008)","journal-title":"ACM Trans. Inf. Syst. (TOIS)"},{"key":"21_CR2","doi-asserted-by":"crossref","unstructured":"Pang, B., Lee, L., et al.: Opinion mining and sentiment analysis. Found. Trends$$\\textregistered $$ Inf. Retrieval 2(1\u20132), 1\u2013135 (2008)","DOI":"10.1561\/1500000011"},{"key":"21_CR3","doi-asserted-by":"publisher","unstructured":"Liu, B., Zhang, L.: A survey of opinion mining and sentiment analysis. In: Aggarwal, C., Zhai, C. (eds.) Mining Text Data, pp. 41\u2013463. Springer, Heidelberg (2012). doi:10.1007\/978-1-4614-3223-4_13","DOI":"10.1007\/978-1-4614-3223-4_13"},{"issue":"6","key":"21_CR4","first-page":"282","volume":"2","author":"G Vinodhini","year":"2012","unstructured":"Vinodhini, G., Chandrasekaran, R.: Sentiment analysis and opinion mining: a survey. Int. J. 2(6), 282\u2013292 (2012)","journal-title":"Int. J."},{"issue":"2","key":"21_CR5","doi-asserted-by":"publisher","first-page":"267","DOI":"10.1162\/COLI_a_00049","volume":"37","author":"M Taboada","year":"2011","unstructured":"Taboada, M., Brooke, J., Tofiloski, M., Voll, K., Stede, M.: Lexicon-based methods for sentiment analysis. Comput. Linguist. 37(2), 267\u2013307 (2011)","journal-title":"Comput. Linguist."},{"key":"21_CR6","doi-asserted-by":"crossref","unstructured":"Yong-Mei, Z., Yang Jia-Neng, Y.A.M.: A method on building Chinese sentiment Lexicon for text sentiment analysis. J. ShanDong Univ. (Eng. Sci.) 43(6), 27\u201333 (2013)","DOI":"10.3724\/SP.J.1087.2013.01574"},{"key":"21_CR7","doi-asserted-by":"crossref","unstructured":"Kouloumpis, E., Wilson, T., Moore, J.D.: Twitter sentiment analysis: the good the bad and the OMG! Icwsm 11(538\u2013541), 164 (2011)","DOI":"10.1609\/icwsm.v5i1.14185"},{"key":"21_CR8","unstructured":"Paltoglou, G., Thelwall, M.: A study of information retrieval weighting schemes for sentiment analysis. In: Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics, pp. 1386\u20131395. Association for Computational Linguistics (2010)"},{"key":"21_CR9","unstructured":"Pak, A., Paroubek, P.: Twitter as a corpus for sentiment analysis and opinion mining. In: LREc, vol. 10 (2010)"},{"key":"21_CR10","unstructured":"Vo, D.T., Zhang, Y.: Target-dependent Twitter sentiment classification with rich automatic features. In: IJCAI, pp. 1347\u20131353 (2015)"},{"key":"21_CR11","doi-asserted-by":"crossref","unstructured":"Sriram, B., Fuhry, D., Demir, E., Ferhatosmanoglu, H., Demirbas, M.: Short text classification in Twitter to improve information filtering. In: Proceedings of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 841\u2013842. ACM (2010)","DOI":"10.1145\/1835449.1835643"},{"key":"21_CR12","doi-asserted-by":"crossref","unstructured":"Banerjee, S., Ramanathan, K., Gupta, A.: Clustering short texts using Wikipedia. In: Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 787\u2013788. ACM (2007)","DOI":"10.1145\/1277741.1277909"},{"key":"21_CR13","doi-asserted-by":"crossref","unstructured":"Tang, D., Wei, F., Yang, N., Zhou, M., Liu, T., Qin, B.: Learning sentiment-specific word embedding for Twitter sentiment classification. In: ACL, vol. 1, pp. 1555\u20131565 (2014)","DOI":"10.3115\/v1\/P14-1146"},{"issue":"5","key":"21_CR14","first-page":"56","volume":"24","author":"L Shoushan","year":"2010","unstructured":"Shoushan, L., ChuRan, H.: Chinese sentiment classification based on stacking combination method. J. Chin. Inf. Process. 24(5), 56\u201361 (2010)","journal-title":"J. Chin. Inf. Process."},{"key":"21_CR15","unstructured":"Yang, D., Yang, A.M.: Classification approach of Chinese texts sentiment based on semantic Lexicon and naive Bayesian. Jisuanji Yingyong Yanjiu 27(10) (2010)"},{"issue":"2","key":"21_CR16","first-page":"247","volume":"53","author":"J Jie","year":"2017","unstructured":"Jie, J., Rui, X., et al.: Microblog sentiment classification via combining rule-based and machine learning methods. Acta Scientiarum Naturalium Universitatis Pekinensis 53(2), 247\u2013254 (2017)","journal-title":"Acta Scientiarum Naturalium Universitatis Pekinensis"},{"key":"21_CR17","doi-asserted-by":"crossref","unstructured":"Li, L., Cao, D., Li, S., Ji, R.: Sentiment analysis of Chinese micro-blog based on multi-modal correlation model. In: 2015 IEEE International Conference on Image Processing (ICIP), pp. 4798\u20134802. IEEE (2015)","DOI":"10.1109\/ICIP.2015.7351718"}],"container-title":["Lecture Notes in Computer Science","Neural Information Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-70139-4_21","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T12:57:38Z","timestamp":1710334658000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-70139-4_21"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319701387","9783319701394"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-70139-4_21","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2017]]},"assertion":[{"value":"29 October 2017","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICONIP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Neural Information Processing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Guangzhou","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2017","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 November 2017","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 November 2017","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iconip2017","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.iconip2017.org\/index.html","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}