{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,31]],"date-time":"2025-12-31T01:03:09Z","timestamp":1767142989033,"version":"build-2238731810"},"reference-count":25,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2017,4,27]],"date-time":"2017-04-27T00:00:00Z","timestamp":1493251200000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61472428"],"award-info":[{"award-number":["61472428"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Data Sci. Eng."],"published-print":{"date-parts":[[2017,6]]},"DOI":"10.1007\/s41019-017-0040-6","type":"journal-article","created":{"date-parts":[[2017,4,27]],"date-time":"2017-04-27T04:16:17Z","timestamp":1493266577000},"page":"178-186","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Guiding the Training of Distributed Text Representation with Supervised Weighting Scheme for Sentiment Analysis"],"prefix":"10.1007","volume":"2","author":[{"given":"Zhe","family":"Zhao","sequence":"first","affiliation":[]},{"given":"Tao","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Shen","family":"Li","sequence":"additional","affiliation":[]},{"given":"Bofang","family":"Li","sequence":"additional","affiliation":[]},{"given":"Xiaoyong","family":"Du","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,4,27]]},"reference":[{"issue":"1","key":"40_CR1","first-page":"22","volume":"16","author":"KW Church","year":"1990","unstructured":"Church KW, Hanks P (1990) Word association norms, mutual information, and lexicography. Comput Linguist 16(1):22\u201329","journal-title":"Comput Linguist"},{"key":"40_CR2","unstructured":"Dai AM, Le QV (2015) Semi-supervised sequence learning. In: Advances in neural information processing systems 28: annual conference on neural information processing systems 2015, December 7\u201312, Montreal, Quebec, Canada, pp 3079\u20133087"},{"issue":"7","key":"40_CR3","doi-asserted-by":"crossref","first-page":"3506","DOI":"10.1016\/j.eswa.2013.10.056","volume":"41","author":"ZH Deng","year":"2014","unstructured":"Deng ZH, Luo KH, Yu HL (2014) A study of supervised term weighting scheme for sentiment analysis. Expert Syst Appl 41(7):3506\u20133513","journal-title":"Expert Syst Appl"},{"key":"40_CR4","unstructured":"Denil M, Demiraj A, Kalchbrenner N, Blunsom P, de\u00a0Freitas N (2014) Modelling, visualising and summarising documents with a single convolutional neural network. arXiv preprint arXiv:1406.3830"},{"key":"40_CR5","first-page":"1871","volume":"9","author":"RE Fan","year":"2008","unstructured":"Fan RE, Chang KW, Hsieh CJ, Wang XR, Lin CJ (2008) Liblinear: a library for large linear classification. J Mach Learn Res 9:1871\u20131874","journal-title":"J Mach Learn Res"},{"key":"40_CR6","doi-asserted-by":"crossref","first-page":"345","DOI":"10.1613\/jair.4992","volume":"57","author":"Y Goldberg","year":"2016","unstructured":"Goldberg Y (2016) A primer on neural network models for natural language processing. J Artif Intell Res 57:345\u2013420","journal-title":"J Artif Intell Res"},{"key":"40_CR7","doi-asserted-by":"crossref","unstructured":"Iyyer M, Manjunatha V, Boyd-Graber JL, Daum\u00e9\u00a0III H (2015) Deep unordered composition rivals syntactic methods for text classification. In: Proceedings of the 53rd annual meeting of the association for computational linguistics and the 7th international joint conference on natural language processing of the asian federation of natural language processing, ACL 2015, July 26\u201331, Beijing, China, volume 1: long papers, pp 1681\u20131691","DOI":"10.3115\/v1\/P15-1162"},{"key":"40_CR8","unstructured":"Johnson R, Zhang T (2015) Semi-supervised convolutional neural networks for text categorization via region embedding. In: Advances in neural information processing systems 28: annual conference on neural information processing systems 2015, December 7\u201312, Montreal, Quebec, Canada, pp 919\u2013927"},{"key":"40_CR9","doi-asserted-by":"crossref","unstructured":"Kim Y (2014) Convolutional neural networks for sentence classification. arXiv preprint arXiv:1408.5882","DOI":"10.3115\/v1\/D14-1181"},{"key":"40_CR10","doi-asserted-by":"crossref","unstructured":"Kim Y, Zhang O (2014) Credibility adjusted term frequency: A supervised term weighting scheme for sentiment analysis and text classification. arXiv preprint arXiv:1405.3518","DOI":"10.3115\/v1\/W14-2614"},{"key":"40_CR11","first-page":"1188","volume":"14","author":"QV Le","year":"2014","unstructured":"Le QV, Mikolov T (2014) Distributed representations of sentences and documents. ICML 14:1188\u20131196","journal-title":"ICML"},{"key":"40_CR12","unstructured":"Levy O, Goldberg Y (2014) Neural word embedding as implicit matrix factorization. In: Advances in neural information processing systems 27: annual conference on neural information processing systems 2014, December 8\u201313, Montreal, Quebec, Canada, pp 2177\u20132185"},{"key":"40_CR13","doi-asserted-by":"crossref","first-page":"211","DOI":"10.1162\/tacl_a_00134","volume":"3","author":"O Levy","year":"2015","unstructured":"Levy O, Goldberg Y, Dagan I (2015) Improving distributional similarity with lessons learned from word embeddings. Trans Assoc Comput Linguist 3:211\u2013225","journal-title":"Trans Assoc Comput Linguist"},{"key":"40_CR14","unstructured":"Li B, Liu T, Du X, Zhang D, Zhao Z (2015) Learning document embeddings by predicting n-grams for sentiment classification of long movie reviews. arXiv preprint arXiv:1512.08183"},{"key":"40_CR15","unstructured":"Li J (2014) Feature weight tuning for recursive neural networks. arXiv preprint arXiv:1412.3714"},{"key":"40_CR16","unstructured":"Maas AL, Daly RE, Pham PT, Huang D, Ng AY, Potts C (2011) Learning word vectors for sentiment analysis. In: Proceedings of the 49th annual meeting of the association for computational linguistics: human language technologies, Vol 1. pp 142\u2013150. Association for Computational Linguistics"},{"key":"40_CR17","first-page":"106","volume":"9","author":"J Martineau","year":"2009","unstructured":"Martineau J, Finin T (2009) Delta tfidf: an improved feature space for sentiment analysis. Icwsm 9:106","journal-title":"Icwsm"},{"key":"40_CR18","unstructured":"Mesnil G, Mikolov T, Ranzato M, Bengio Y (2014) Ensemble of generative and discriminative techniques for sentiment analysis of movie reviews. arXiv preprint arXiv:1412.5335"},{"key":"40_CR19","unstructured":"Mikolov T, Sutskever I, Chen K, Corrado GS, Dean J (2013) Distributed representations of words and phrases and their compositionality. In: Advances in neural information processing systems 26: 27th annual conference on neural information processing systems 2013, December 5\u20138, Lake Tahoe, NV, USA, pp 3111\u20133119"},{"key":"40_CR20","unstructured":"Paltoglou G, Thelwall M (2010) 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"},{"key":"40_CR21","doi-asserted-by":"crossref","unstructured":"Pang B, Lee L, Vaithyanathan S (2002) 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","DOI":"10.3115\/1118693.1118704"},{"key":"40_CR22","first-page":"1532","volume":"14","author":"J Pennington","year":"2014","unstructured":"Pennington J, Socher R, Manning CD (2014) Glove: global vectors for word representation. EMNLP 14:1532\u20131543","journal-title":"EMNLP"},{"key":"40_CR23","unstructured":"Socher R, Huval B, Manning CD, Ng AY (2012) Semantic compositionality through recursive matrix-vector spaces. In: Proceedings of the 2012 Joint Conference on empirical methods in natural language processing and computational natural language learning, pp 1201\u20131211. Association for Computational Linguistics"},{"key":"40_CR24","unstructured":"Wang S, Manning CD (2012) Baselines and bigrams: simple, good sentiment and topic classification. In: Proceedings of the 50th annual meeting of the asssociation for computational linguistics: short papers, Vol 2, pp 90\u201394. Association for Computational Linguistics"},{"key":"40_CR25","doi-asserted-by":"crossref","unstructured":"Zhao Z, Liu T, Hou X, Li B, Du X (2016) Distributed text representation with weighting scheme guidance for sentiment analysis. In: Asia-Pacific web conference, Springer, pp 41\u201352","DOI":"10.1007\/978-3-319-45814-4_4"}],"updated-by":[{"DOI":"10.1007\/s41019-017-0058-9","type":"correction","label":"Correction","source":"publisher","updated":{"date-parts":[[2017,12,1]],"date-time":"2017-12-01T00:00:00Z","timestamp":1512086400000}}],"container-title":["Data Science and Engineering"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s41019-017-0040-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s41019-017-0040-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s41019-017-0040-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,21]],"date-time":"2019-09-21T23:50:09Z","timestamp":1569109809000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s41019-017-0040-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,4,27]]},"references-count":25,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2017,6]]}},"alternative-id":["40"],"URL":"https:\/\/doi.org\/10.1007\/s41019-017-0040-6","relation":{},"ISSN":["2364-1185","2364-1541"],"issn-type":[{"value":"2364-1185","type":"print"},{"value":"2364-1541","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,4,27]]}}}