{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,1,30]],"date-time":"2025-01-30T06:10:01Z","timestamp":1738217401527,"version":"3.34.0"},"publisher-location":"Berlin, Heidelberg","reference-count":6,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540681243"},{"type":"electronic","value":"9783540681250"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"DOI":"10.1007\/978-3-540-68125-0_102","type":"book-chapter","created":{"date-parts":[[2008,5,10]],"date-time":"2008-05-10T07:40:05Z","timestamp":1210405205000},"page":"977-984","source":"Crossref","is-referenced-by-count":22,"title":["Automatic Extraction of Basis Expressions That Indicate Economic Trends"],"prefix":"10.1007","author":[{"given":"Hiroki","family":"Sakaji","sequence":"first","affiliation":[]},{"given":"Hiroyuki","family":"Sakai","sequence":"additional","affiliation":[]},{"given":"Shigeru","family":"Masuyama","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"102_CR1","unstructured":"Nakajima, T., Sakai, H., Masuyama, S.: A classification method based on the view of the author of each newspaper article on economics. IPSJ SIG Notes\u00a02003(51)(20030522), 175\u2013180 (2003) (in Japanese)"},{"issue":"4","key":"102_CR2","doi-asserted-by":"crossref","first-page":"99","DOI":"10.5715\/jnlp.13.2_99","volume":"13","author":"H. Sakai","year":"2006","unstructured":"Sakai, H., Umemura, S., Masuyama, S.: Extraction of Expressions concerning Accident Cause contained in Articles on Traffic Accidents. Journal of Natural Language Processing\u00a013(4), 99\u2013124 (2006) (in Japanese)","journal-title":"Journal of Natural Language Processing"},{"key":"102_CR3","doi-asserted-by":"crossref","unstructured":"Sakai, H., Masuyama, S.: Extraction of Cause Information from Newspaper Articles Concerning Business Performance. In: Proc. of the 4th IFIP Conference on Artificial Intelligence Applications & Innovations (AIAI 2007), pp. 205\u2013212 (2007)","DOI":"10.1007\/978-0-387-74161-1_22"},{"key":"102_CR4","volume-title":"Statistical Learning Theory","author":"V.N. Vapnik","year":"1999","unstructured":"Vapnik, V.N.: Statistical Learning Theory. John Wiley & Sons, Chichester (1999)"},{"key":"102_CR5","doi-asserted-by":"crossref","unstructured":"Kanayama, H., Nasukawa, T., Watanabe, H.: Deeper sentiment analysis using machine translation technology. In: Proceedings of the 20th COLING, pp. 494\u2013500 (2004)","DOI":"10.3115\/1220355.1220426"},{"key":"102_CR6","doi-asserted-by":"crossref","unstructured":"Wilson, T., Wiebe, J., Hoffmann, P.: Recognizing Contextual Polarity in Phrase-Level Sentiment Analysis. In: Proceedings of HLT\/EMNLP-2005, pp. 347\u2013354 (2005)","DOI":"10.3115\/1220575.1220619"}],"container-title":["Lecture Notes in Computer Science","Advances in Knowledge Discovery and Data Mining"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-540-68125-0_102.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,30]],"date-time":"2025-01-30T05:49:28Z","timestamp":1738216168000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-540-68125-0_102"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[null]]},"ISBN":["9783540681243","9783540681250"],"references-count":6,"URL":"https:\/\/doi.org\/10.1007\/978-3-540-68125-0_102","relation":{},"subject":[]}}