{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,8]],"date-time":"2024-09-08T18:06:58Z","timestamp":1725818818269},"publisher-location":"Cham","reference-count":10,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319163536"},{"type":"electronic","value":"9783319163543"}],"license":[{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2015]]},"DOI":"10.1007\/978-3-319-16354-3_49","type":"book-chapter","created":{"date-parts":[[2015,3,16]],"date-time":"2015-03-16T08:53:25Z","timestamp":1426496005000},"page":"447-452","source":"Crossref","is-referenced-by-count":2,"title":["Learning Higher-Level Features with Convolutional Restricted Boltzmann Machines for Sentiment Analysis"],"prefix":"10.1007","author":[{"given":"Trung","family":"Huynh","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yulan","family":"He","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Stefan","family":"R\u00fcger","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"49_CR1","doi-asserted-by":"crossref","unstructured":"Collobert, R., Weston, J.: A Unified Architecture for Natural Language Processing: Deep Neural Networks with Multitask Learning. In: ICML (2008)","DOI":"10.1145\/1390156.1390177"},{"key":"49_CR2","unstructured":"Dahl, G.E., Adams, R.P., Larochelle, H.: Training Restricted Boltzmann Machines on Word Observations. In: ICML (2012)"},{"key":"49_CR3","doi-asserted-by":"crossref","unstructured":"Kalchbrenner, N., Grefenstette, E., Blunsom, P.: A convolutional Neural Network for Modelling Sentences. In: ACL (2014)","DOI":"10.3115\/v1\/P14-1062"},{"key":"49_CR4","doi-asserted-by":"crossref","unstructured":"Lee, H., Grosse, R., Ranganath, R., Ng, A.Y.: Convolutional Deep Belief Networks for Scalable Unsupervised Learning of Hierarchical Representations. In: ICML (2009)","DOI":"10.1145\/1553374.1553453"},{"key":"49_CR5","unstructured":"Lin, C., He, Y., Everson, R.: Sentence Subjectivity Detection with Weakly-Supervised Learning. In: IJCNLP (2011)"},{"key":"49_CR6","doi-asserted-by":"crossref","unstructured":"Mikolov, T., Zweig, G.: Context Dependent Recurrent Neural Networkl Language Model. Tech. rep., Microsoft Research Technical Report (2012)","DOI":"10.1109\/SLT.2012.6424228"},{"key":"49_CR7","unstructured":"Nakagawa, T., Inui, K., Kurohashi, S.: Dependency Tree-based Sentiment Classification using CRFs with Hidden Variables. In: NAACL (2010)"},{"issue":"12","key":"49_CR8","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1561\/1500000011","volume":"2","author":"B. Pang","year":"2008","unstructured":"Pang, B., Lee, L.: Opinion Mining and Sentiment Analysis. Foundations and Trends in Information Retrieval\u00a02(12), 1\u2013135 (2008)","journal-title":"Foundations and Trends in Information Retrieval"},{"key":"49_CR9","unstructured":"Socher, R., Pennington, J., Huang, E.H., Ng, A.Y., Manning, C.D.: Semi-Supervised Recursive Autoencoders for Predicting Sentiment Distributions. In: EMNLP (2011)"},{"key":"49_CR10","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"486","DOI":"10.1007\/978-3-540-30586-6_53","volume-title":"Computational Linguistics and Intelligent Text Processing","author":"J. Wiebe","year":"2005","unstructured":"Wiebe, J., Riloff, E.: Creating Subjective and Objective Sentence Classifiers from Unannotated Texts. In: Gelbukh, A. (ed.) CICLing 2005. LNCS, vol.\u00a03406, pp. 486\u2013497. Springer, Heidelberg (2005)"}],"container-title":["Lecture Notes in Computer Science","Advances in Information Retrieval"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-16354-3_49","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,29]],"date-time":"2019-05-29T12:22:45Z","timestamp":1559132565000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-16354-3_49"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015]]},"ISBN":["9783319163536","9783319163543"],"references-count":10,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-16354-3_49","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2015]]}}}