{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T14:54:24Z","timestamp":1780325664464,"version":"3.54.1"},"reference-count":34,"publisher":"Springer Science and Business Media LLC","issue":"S3","license":[{"start":{"date-parts":[[2017,8,21]],"date-time":"2017-08-21T00:00:00Z","timestamp":1503273600000},"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":["Cluster Comput"],"published-print":{"date-parts":[[2019,5]]},"DOI":"10.1007\/s10586-017-1096-9","type":"journal-article","created":{"date-parts":[[2017,8,21]],"date-time":"2017-08-21T12:25:17Z","timestamp":1503318317000},"page":"7181-7199","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":46,"title":["Aspect-based opinion mining framework using heuristic patterns"],"prefix":"10.1007","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3320-2074","authenticated-orcid":false,"given":"Muhammad Zubair","family":"Asghar","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Aurangzeb","family":"Khan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Syeda Rabail","family":"Zahra","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shakeel","family":"Ahmad","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fazal Masud","family":"Kundi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2017,8,21]]},"reference":[{"key":"1096_CR1","doi-asserted-by":"crossref","unstructured":"Asghar, M.Z., Ahmad, S., Qasim, M., Zahra, S.R., Kundi, F.M.: SentiHealth: creating health-related sentiment lexicon using hybrid approach. SpringerPlus. 5(1):1139 (2016)","DOI":"10.1186\/s40064-016-2809-x"},{"key":"1096_CR2","unstructured":"Asghar, M.Z., Khan, A., Ahmad, S., Kundi, F.M.: Preprocessing in Natural Language Processing in Emerging Issues in the Natural and Applied Sciences, Baku, Azerbaijan: Progress IPS LLC, pp. 52\u2013161 (2013)"},{"issue":"10","key":"1096_CR3","doi-asserted-by":"publisher","first-page":"e0140204","DOI":"10.1371\/journal.pone.0140204","volume":"10","author":"MZ Asghar","year":"2015","unstructured":"Asghar, M.Z., Khan, A., Ahmad, S., Khan, I.A., Kundi, F.M.: A unified framework for creating domain dependent polarity lexicons from user generated reviews. PLoS ONE 10(10), e0140204 (2015)","journal-title":"PLoS ONE"},{"issue":"2","key":"1096_CR4","doi-asserted-by":"publisher","first-page":"e0171649","DOI":"10.1371\/journal.pone.0171649","volume":"12","author":"MZ Asghar","year":"2017","unstructured":"Asghar, M.Z., Khan, A., Ahmad, S., Qasim, M., Khan, I.A.: Lexicon-enhanced sentiment analysis framework using rule-based classification scheme. PLoS ONE 12(2), e0171649 (2017). doi: 10.1371\/journal.pone.0171649","journal-title":"PLoS ONE"},{"key":"1096_CR5","unstructured":"Bird, S., Klein, E., Loper, E.: Natural Language Processing with Python. O\u2019Reilly Media, Inc (2009)"},{"key":"1096_CR6","doi-asserted-by":"crossref","unstructured":"Chinsha, T.C., Shibily, J.: A syntactic approach for aspect based opinion mining. In: Proceedings of the IEEE 9th International Conference on Semantic Computing (2015)","DOI":"10.1109\/ICOSC.2015.7050774"},{"key":"1096_CR7","unstructured":"Esuli, A., Sentiwordnet, S.F.: A publically available lexical resource f or opinion mining. In: Proceedings of LREC, vol. 6 (2006)"},{"key":"1096_CR8","first-page":"2013","volume":"3","author":"SS Htay","year":"2013","unstructured":"Htay, S.S., Lynn, K.T.: Extracting product features and opinion words using pattern knowledge in customer reviews. Sci. World J. 3, 2013 (2013)","journal-title":"Sci. World J."},{"key":"1096_CR9","unstructured":"Hu, M., Liu, B.: Mining Opinion Features in Customer Reviews. American Association for Artificial Intelligence (2004)"},{"issue":"2","key":"1096_CR10","doi-asserted-by":"publisher","first-page":"110","DOI":"10.1111\/j.1467-8640.2006.00277.x","volume":"22","author":"Alistair Kennedy","year":"2006","unstructured":"Kennedy, Alistair, Inkpen, D.: Sentiment classification of movie reviews using contextual valence shifters. Comput. Intell. 22(2), 110\u2013125 (2006)","journal-title":"Comput. Intell."},{"key":"1096_CR11","doi-asserted-by":"crossref","unstructured":"Kessler, L.S., Nicolov, N.: Targeting sentiment expressions through supervised ranking of linguistic configurations. In: ICWSM (2009)","DOI":"10.1609\/icwsm.v3i1.13948"},{"key":"1096_CR12","unstructured":"Khan, K., Baharudin, B., Khan, A.: Identifying product features from customer reviews using hybrid patterns. Int. Arab. J. Inf. Technol. 11(3), 281\u2013286 (2014)"},{"key":"1096_CR13","unstructured":"Kreutzer, J., Witte, N.: Opinion Mining Using SentiWordNet, pp. 1\u201319 (2013)"},{"key":"1096_CR14","unstructured":"List of intensifiers https:\/\/archive.org\/stream\/intensifiersincu00benz\/intensifiersincu00benz_djvu.txt"},{"key":"1096_CR15","doi-asserted-by":"publisher","first-page":"1","DOI":"10.2200\/S00416ED1V01Y201204HLT016","volume":"5","author":"B Liu","year":"2012","unstructured":"Liu, B.: Sentiment analysis and opinion mining. Synth. Lect. Human Lang. Technol. 5, 1\u2013167 (2012)","journal-title":"Synth. Lect. Human Lang. Technol."},{"key":"1096_CR16","doi-asserted-by":"publisher","first-page":"244","DOI":"10.1016\/j.procs.2015.07.545","volume":"59","author":"Warih Maharani","year":"2015","unstructured":"Maharani, W., Widyantoro, D.H., Khodra, M.L.: Aspect extraction in customer reviews using syntactic pattern. Procedia Comput. Sci. 59(Iccsci), 244\u2013253 (2015)","journal-title":"Procedia Computer Science"},{"key":"1096_CR17","doi-asserted-by":"crossref","unstructured":"Maharani, W., Widyantoro, D.H., Khodra, M.L.: Learning-based aspect identification in customer review products. In: The 5th International Conference on Electrical Engineering and Informatics 2015 August 10\u201311, Bali, Indonesia, pp. 71\u201376 (2015)","DOI":"10.1109\/ICEEI.2015.7352472"},{"key":"1096_CR18","doi-asserted-by":"crossref","unstructured":"Maharani, W., Widyantoro, D.H., Khodra, M.L.: SAE: syntactic-based aspect and opinion extraction from product reviews. ICAICTA 2015-2015 Int. Conf. Adv. Informatics Concepts, Theory Appl. (2015)","DOI":"10.1109\/ICAICTA.2015.7335371"},{"key":"1096_CR19","doi-asserted-by":"publisher","first-page":"135","DOI":"10.1007\/s11280-015-0381-x","volume":"20","author":"AS Manek","year":"2017","unstructured":"Manek, A.S., Shenoy, P.D., Mohan, M.C., Venugopal, K.R.: Aspect term extraction for sentiment analysis in large movie reviews using Gini Index feature selection method and SVM classifier. World Wide Web 20, 135 (2017). doi: 10.1007\/s11280-015-0381-x","journal-title":"World Wide Web"},{"issue":"17","key":"1096_CR20","doi-asserted-by":"publisher","first-page":"7764","DOI":"10.1016\/j.eswa.2014.05.045","volume":"41","author":"E Marrese-Taylor","year":"2014","unstructured":"Marrese-Taylor, E., Vel\u00e1squez, J.D., Bravo-Marquez, F.: A novel deterministic approach for aspect-based opinion mining in tourism products reviews. Expert Syst. Appl. 41(17), 7764\u20137775 (2014)","journal-title":"Expert Syst. Appl."},{"key":"1096_CR21","doi-asserted-by":"crossref","unstructured":"Pang, B., Lee, L.: A sentimental education: sentiment analysis using subjectivity summarization based on minimum cuts. In: Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics (AMACL\u201904), pp. 271\u2013277 (2004)","DOI":"10.3115\/1218955.1218990"},{"issue":"9","key":"1096_CR22","doi-asserted-by":"publisher","first-page":"3373","DOI":"10.1007\/s00500-015-1779-1","volume":"20","author":"Viraj Parkhe","year":"2015","unstructured":"Parkhe, V., Biswas, B.: Sentiment analysis of movie reviews: finding most important movie aspects using driving factors. Soft Comput. 20(9), 3373\u20133379 (2016)","journal-title":"Soft Computing"},{"key":"1096_CR23","doi-asserted-by":"crossref","unstructured":"Popescu, A.-M., Etzioni, O.: Extracting product features and opinions from reviews. Natural Language Processing and Text Mining, pp. 9\u201328. Springer, London (2007)","DOI":"10.1007\/978-1-84628-754-1_2"},{"key":"1096_CR24","unstructured":"Provost, F.J., Fawcett, T., Kohavi, R.: The case against accuracy estimation for comparing induction algorithms. In: Proceedings of the Fifteenth International Conference on Machine Learning 98, 445\u2013453 (1998)"},{"issue":"1","key":"1096_CR25","doi-asserted-by":"publisher","first-page":"9","DOI":"10.1162\/coli_a_00034","volume":"37","author":"G Qiu","year":"2011","unstructured":"Qiu, G., Liu, B., Bu, L., Chen, C.: Opinion word expansion and target extraction through double propagation. Comput. Linguist. 37(1), 9\u201327 (2011)","journal-title":"Comput. Linguist."},{"key":"1096_CR26","doi-asserted-by":"crossref","unstructured":"Rana, T.A., Rana, T.A.: Exploiting Sequential Patterns to Detect Objective Aspects from Online Reviews Exploiting Sequential Patterns to Detect Objective Aspects from Online Reviews, no. August (2016)","DOI":"10.1109\/ICAICTA.2016.7803101"},{"key":"1096_CR27","doi-asserted-by":"crossref","unstructured":"Samha, A.K., Li, Y., Zhang, J.: Aspect-based opinion extraction from customer reviews, arXiv preprint arXiv:1404.1982 (2014)","DOI":"10.5121\/csit.2014.4413"},{"key":"1096_CR28","doi-asserted-by":"crossref","unstructured":"Singh, V., Piryani, R., Uddin, A., Waila, P.: Sentiment analysis of movie reviews: a new feature-based heuristic for aspect-based sentiment classification. In: Automation, Computing, Communication, Control and Compressed Sensing (iMac4s), International Multi-Conference, IEEE, pp. 712\u2013717 (2013)","DOI":"10.1109\/iMac4s.2013.6526500"},{"issue":"2","key":"1096_CR29","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":"1096_CR30","doi-asserted-by":"crossref","unstructured":"Thet, T.T., Khoo, C.S., Shakthikumar, S.: Sentiment analysis of movie reviews on discussion boards using a linguistic approach. In: Proceedings of the 1st International CIKM Workshop on Topic-Sentiment Analysis for Mass Opinion, pp. 81\u201384. ACM (2009)","DOI":"10.1145\/1651461.1651476"},{"key":"1096_CR31","doi-asserted-by":"crossref","unstructured":"Turney, P.D.: Thumbs up or thumbs down?: Semantic orientation applied to unsupervised classification of reviews. In: Proceedings of the 40th Annual Meeting on Association for Computational linguistics, pp. 417\u2013424, July (2002)","DOI":"10.3115\/1073083.1073153"},{"key":"1096_CR32","doi-asserted-by":"crossref","unstructured":"Varghese, R., Jayasree, M.: Aspect based sentiment analysis using support vector machine classifier. In: Advances in Computing, Communications and Informatics (ICACCI), International Conference on IEEE, pp. 1581\u20131586 (2013)","DOI":"10.1109\/ICACCI.2013.6637416"},{"key":"1096_CR33","doi-asserted-by":"crossref","unstructured":"Zhai, Z., Liu, B., Xu, H., Jia, P.: Clustering product features for opinion mining. In: Proc. fourth ACM Int. Conf. Web search data Min.-WSDM \u201911, no. March, p. 347 (2011)","DOI":"10.1145\/1935826.1935884"},{"key":"1096_CR34","doi-asserted-by":"crossref","unstructured":"Zhuang, L., Jing, F., Zhu, X.: Movie review mining and summarization. In: Proceedings of the 15th ACM International Conference on Information and Knowledge Management, pp. 43\u201350 (2006)","DOI":"10.1145\/1183614.1183625"}],"container-title":["Cluster Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10586-017-1096-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10586-017-1096-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10586-017-1096-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,25]],"date-time":"2023-08-25T05:00:30Z","timestamp":1692939630000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10586-017-1096-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,8,21]]},"references-count":34,"journal-issue":{"issue":"S3","published-print":{"date-parts":[[2019,5]]}},"alternative-id":["1096"],"URL":"https:\/\/doi.org\/10.1007\/s10586-017-1096-9","relation":{},"ISSN":["1386-7857","1573-7543"],"issn-type":[{"value":"1386-7857","type":"print"},{"value":"1573-7543","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,8,21]]},"assertion":[{"value":"14 April 2017","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"21 July 2017","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"1 August 2017","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"21 August 2017","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}