{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,3]],"date-time":"2026-04-03T06:31:21Z","timestamp":1775197881316,"version":"3.50.1"},"reference-count":14,"publisher":"Springer Science and Business Media LLC","issue":"9","license":[{"start":{"date-parts":[[2015,7,18]],"date-time":"2015-07-18T00:00:00Z","timestamp":1437177600000},"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":["Soft Comput"],"published-print":{"date-parts":[[2016,9]]},"DOI":"10.1007\/s00500-015-1779-1","type":"journal-article","created":{"date-parts":[[2015,7,17]],"date-time":"2015-07-17T07:38:40Z","timestamp":1437118720000},"page":"3373-3379","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":39,"title":["Sentiment analysis of movie reviews: finding most important movie aspects using driving factors"],"prefix":"10.1007","volume":"20","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3567-9570","authenticated-orcid":false,"given":"Viraj","family":"Parkhe","sequence":"first","affiliation":[]},{"given":"Bhaskar","family":"Biswas","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2015,7,18]]},"reference":[{"key":"1779_CR1","unstructured":"Basaria ASH, Hussina B, Anantaa IGP, Zeniarjab J (2012) Opinion mining of movie review using hybrid method of support vector machine and particle swarm optimization. In: Malaysian Technical Universities conference on engineering & technology (MUCET 2012) part 4: information and communication technology"},{"key":"1779_CR2","unstructured":"Bro J, Ehrig H (2010) Generating a context-aware sentiment lexicon for aspect-based product review mining. In: IEEE\/WIC\/ACM international conference on web intelligence and intelligent agent technology"},{"key":"1779_CR3","doi-asserted-by":"crossref","unstructured":"Kang H, Yoo SJ, Han D (2012) Senti-lexicon and improved Naive Bayes algorithms for sentiment analysis of restaurant reviews. Expert Syst Appl 39(5):6000\u20136010","DOI":"10.1016\/j.eswa.2011.11.107"},{"key":"1779_CR4","unstructured":"Large Movie Review Dataset (2015) Acquired from stanford AI lab. http:\/\/ai.stanford.edu\/~amaas\/data\/sentiment"},{"key":"1779_CR5","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"},{"key":"1779_CR6","doi-asserted-by":"crossref","unstructured":"Pang B, Lee L, Vaithyanathan S (2002) Thumbs up? Sentiment classification using machine learningtechniques. In: Proceedings of the conference on empirical methods in natural language processing (EMNLP), Philadelphia, pp 79\u201386","DOI":"10.3115\/1118693.1118704"},{"key":"1779_CR7","doi-asserted-by":"crossref","unstructured":"Parkhe V, Biswas B (2014) Aspect based sentiment analysis of movie reviews: finding the polarity directing aspects. In: Proceedings of international conference on soft computing and machine intelligence 2014","DOI":"10.1109\/ISCMI.2014.16"},{"key":"1779_CR8","unstructured":"Sentiment Analysis (2015) Wikipedia-the free encyclopedia. http:\/\/wikipedia.org\/wiki\/Sentiment_analysis"},{"key":"1779_CR9","unstructured":"SentiWordNet (2015) Lexical resource for opinion mining. http:\/\/sentiwordnet.isti.cnr.it"},{"key":"1779_CR10","doi-asserted-by":"crossref","unstructured":"Singh VK, Piryani R, Uddin A, Waila P (2013) Sentiment analysis of movie reviews a new feature-based heuristic for aspect-level sentiment classification. In: Proceedings of the 2013 international muli-conference on automation, communication, computing, control and compressed sensing, Kerala-India, IEEE Xplore, pp 712\u2013717","DOI":"10.1109\/iMac4s.2013.6526500"},{"key":"1779_CR11","unstructured":"Stanford Part-Of-Speech Tagger (2015) Stanford natural language processing group. http:\/\/nlp.stanford.edu\/software\/tagger.shtml"},{"key":"1779_CR12","doi-asserted-by":"crossref","unstructured":"Taboada M, Brook J, Stede M (2009) Genre-based paragraph classification for sentiment analysis. In: Proceedings of SIGDIAL 2009: the 10th annual meeting of the special interest group in discourse and dialogue, University of London, Queen Mary, pp 62\u201370","DOI":"10.3115\/1708376.1708385"},{"key":"1779_CR13","doi-asserted-by":"crossref","unstructured":"Thet TT, Na J-C, Khoo CSG (2010) Aspect-based sentiment analysis of movie reviews on discussion boards. J Inf Sci 36(6):823\u2013848","DOI":"10.1177\/0165551510388123"},{"key":"1779_CR14","unstructured":"Yu J, Zha Z-J, Wang M, Chua T-S (2011) Aspect ranking: identifying important product aspects from online consumer reviews. In: Proceedings of the 49th annual meeting of the association for computational linguistics, Portland, Oregon, pp 1496\u20131505, 19\u201324 June 2011"}],"container-title":["Soft Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-015-1779-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00500-015-1779-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-015-1779-1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,28]],"date-time":"2019-05-28T21:43:49Z","timestamp":1559079829000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00500-015-1779-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,7,18]]},"references-count":14,"journal-issue":{"issue":"9","published-print":{"date-parts":[[2016,9]]}},"alternative-id":["1779"],"URL":"https:\/\/doi.org\/10.1007\/s00500-015-1779-1","relation":{},"ISSN":["1432-7643","1433-7479"],"issn-type":[{"value":"1432-7643","type":"print"},{"value":"1433-7479","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015,7,18]]}}}