{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,3]],"date-time":"2026-04-03T00:18:50Z","timestamp":1775175530158,"version":"3.50.1"},"publisher-location":"Cham","reference-count":34,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030157111","type":"print"},{"value":"9783030157128","type":"electronic"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"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":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-030-15712-8_37","type":"book-chapter","created":{"date-parts":[[2019,4,7]],"date-time":"2019-04-07T03:27:59Z","timestamp":1554607679000},"page":"575-589","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["LICD: A Language-Independent Approach for Aspect Category Detection"],"prefix":"10.1007","author":[{"given":"Erfan","family":"Ghadery","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sajad","family":"Movahedi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Masoud","family":"Jalili Sabet","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Heshaam","family":"Faili","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Azadeh","family":"Shakery","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,4,7]]},"reference":[{"key":"37_CR1","doi-asserted-by":"crossref","unstructured":"Alvarez-L\u00f3pez, T., Juncal-Martinez, J., Fern\u00e1ndez-Gavilanes, M., Costa-Montenegro, E., Gonz\u00e1lez-Castano, F.J.: GTI at SemEval-2016 task 5: SVM and CRF for aspect detection and unsupervised aspect-based sentiment analysis. In: Proceedings of the 10th International Workshop On Semantic Evaluation (SemEval-2016), pp. 306\u2013311 (2016)","DOI":"10.18653\/v1\/S16-1049"},{"key":"37_CR2","unstructured":"Apidianaki, M., Tannier, X., Richart, C.: Datasets for aspect-based sentiment analysis in French. In: LREC (2016)"},{"key":"37_CR3","volume-title":"Natural Language Processing with Python: Analyzing Text with the Natural Language Toolkit","author":"S Bird","year":"2009","unstructured":"Bird, S., Klein, E., Loper, E.: Natural Language Processing with Python: Analyzing Text with the Natural Language Toolkit. O\u2019Reilly Media Inc., Sebastopol (2009)"},{"key":"37_CR4","doi-asserted-by":"crossref","unstructured":"Brun, C., Perez, J., Roux, C.: XRCE at SemEval-2016 task 5: feedbacked ensemble modeling on syntactico-semantic knowledge for aspect based sentiment analysis. In: Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016), pp. 277\u2013281 (2016)","DOI":"10.18653\/v1\/S16-1044"},{"key":"37_CR5","doi-asserted-by":"crossref","unstructured":"\u00c7etin, F.S., Y\u0131ld\u0131r\u0131m, E., \u00d6zbey, C., Eryi\u011fit, G.: TGB at SemEval-2016 task 5: multi-lingual constraint system for aspect based sentiment analysis. In: Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016), pp. 337\u2013341 (2016)","DOI":"10.18653\/v1\/S16-1054"},{"key":"37_CR6","doi-asserted-by":"crossref","unstructured":"Charlet, D., Damnati, G.: SimBow at SemEval-2017 task 3: soft-cosine semantic similarity between questions for community question answering. In: Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017), pp. 315\u2013319 (2017)","DOI":"10.18653\/v1\/S17-2051"},{"key":"37_CR7","unstructured":"De Clercq, O., Hoste, V.: Rude waiter but mouthwatering pastries! an exploratory study into Dutch aspect-based sentiment analysis. In: Tenth International Conference on Language Resources and Evaluation (LREC2016), pp. 2910\u20132917. ELRA (2016)"},{"issue":"Mar","key":"37_CR8","first-page":"1289","volume":"3","author":"G Forman","year":"2003","unstructured":"Forman, G.: An extensive empirical study of feature selection metrics for text classification. J. Mach. Learn. Res. 3(Mar), 1289\u20131305 (2003)","journal-title":"J. Mach. Learn. Res."},{"key":"37_CR9","unstructured":"Ganu, G., Elhadad, N., Marian, A.: Beyond the stars: improving rating predictions using review text content. In: WebDB, vol. 9, pp. 1\u20136. Citeseer (2009)"},{"key":"37_CR10","doi-asserted-by":"crossref","unstructured":"Hu, M., Liu, B.: Mining and summarizing customer reviews. In: Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 168\u2013177. ACM (2004)","DOI":"10.1145\/1014052.1014073"},{"key":"37_CR11","doi-asserted-by":"crossref","unstructured":"Khalil, T., El-Beltagy, S.R.: NileTMRG at SemEval-2016 task 5: deep convolutional neural networks for aspect category and sentiment extraction. In: Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016), pp. 271\u2013276 (2016)","DOI":"10.18653\/v1\/S16-1043"},{"key":"37_CR12","unstructured":"Kingma, D.P., Ba, J.: Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980 (2014)"},{"key":"37_CR13","doi-asserted-by":"crossref","unstructured":"Kiritchenko, S., Zhu, X., Cherry, C., Mohammad, S.: NRC-Canada-2014: detecting aspects and sentiment in customer reviews. In: Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014), pp. 437\u2013442 (2014)","DOI":"10.3115\/v1\/S14-2076"},{"key":"37_CR14","unstructured":"Kusner, M., Sun, Y., Kolkin, N., Weinberger, K.: From word embeddings to document distances. In: International Conference on Machine Learning, pp. 957\u2013966 (2015)"},{"key":"37_CR15","unstructured":"Loukachevitch, N., Blinov, P., Kotelnikov, E., Rubtsova, Y., Ivanov, V., Tutubalina, E.: SentiRuEval: testing object-oriented sentiment analysis systems in Russian. In: Proceedings of International Conference Dialog, vol. 2, pp. 3\u201313 (2015)"},{"key":"37_CR16","unstructured":"Ma, W., Suel, T.: Structural sentence similarity estimation for short texts. In: FLAIRS Conference, pp. 232\u2013237 (2016)"},{"key":"37_CR17","unstructured":"Mikolov, T., Chen, K., Corrado, G., Dean, J.: Efficient estimation of word representations in vector space. arXiv preprint arXiv:1301.3781 (2013)"},{"key":"37_CR18","doi-asserted-by":"crossref","unstructured":"Novotn\u1ef3, V.: Implementation notes for the soft cosine measure. In: Proceedings of the 27th ACM International Conference on Information and Knowledge Management, pp. 1639\u20131642. ACM (2018)","DOI":"10.1145\/3269206.3269317"},{"issue":"1\u20132","key":"37_CR19","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1561\/1500000011","volume":"2","author":"B Pang","year":"2008","unstructured":"Pang, B., Lee, L., et al.: Opinion mining and sentiment analysis. Found. Trends\u00ae Inf. Ret. 2(1\u20132), 1\u2013135 (2008)","journal-title":"Found. Trends\u00ae Inf. Ret."},{"key":"37_CR20","first-page":"2825","volume":"12","author":"F Pedregosa","year":"2011","unstructured":"Pedregosa, F., et al.: Scikit-learn: machine learning in Python. J. Mach. Learn. Res. 12, 2825\u20132830 (2011)","journal-title":"J. Mach. Learn. Res."},{"key":"37_CR21","doi-asserted-by":"crossref","unstructured":"Pontiki, M., et al.: SemEval-2016 task 5: aspect based sentiment analysis. In: Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016), pp. 19\u201330 (2016)","DOI":"10.18653\/v1\/S16-1002"},{"key":"37_CR22","unstructured":"\u0158eh\u016f\u0159ek, R., Sojka, P.: Software framework for topic modelling with large corpora. In: Proceedings of the LREC 2010 Workshop on New Challenges for NLP Frameworks, pp. 45\u201350. ELRA, Valletta, May 2010. http:\/\/is.muni.cz\/publication\/884893\/en"},{"key":"37_CR23","unstructured":"Rubner, Y., Tomasi, C., Guibas, L.J.: A metric for distributions with applications to image databases. In: Sixth International Conference on Computer Vision 1998, pp. 59\u201366. IEEE (1998)"},{"key":"37_CR24","doi-asserted-by":"crossref","unstructured":"Ruder, S., Ghaffari, P., Breslin, J.G.: A hierarchical model of reviews for aspect-based sentiment analysis. arXiv preprint arXiv:1609.02745 (2016)","DOI":"10.18653\/v1\/D16-1103"},{"key":"37_CR25","doi-asserted-by":"crossref","unstructured":"Ruder, S., Ghaffari, P., Breslin, J.G.: Insight-1 at SemEval-2016 task 5: deep learning for multilingual aspect-based sentiment analysis. arXiv preprint arXiv:1609.02748 (2016)","DOI":"10.18653\/v1\/S16-1053"},{"key":"37_CR26","first-page":"1","volume":"1","author":"K Schouten","year":"2016","unstructured":"Schouten, K., Frasincar, F.: Survey on aspect-level sentiment analysis. IEEE Trans. Knowl. Data Eng. 1, 1 (2016)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"issue":"3","key":"37_CR27","doi-asserted-by":"publisher","first-page":"491","DOI":"10.13053\/cys-18-3-2043","volume":"18","author":"G Sidorov","year":"2014","unstructured":"Sidorov, G., Gelbukh, A., G\u00f3mez-Adorno, H., Pinto, D.: Soft similarity and soft cosine measure: similarity of features in vector space model. Computaci\u00f3n y Sistemas 18(3), 491\u2013504 (2014)","journal-title":"Computaci\u00f3n y Sistemas"},{"key":"37_CR28","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"22","DOI":"10.1007\/11940098_3","volume-title":"Computer Processing of Oriental Languages. Beyond the Orient: The Research Challenges Ahead","author":"Q Su","year":"2006","unstructured":"Su, Q., Xiang, K., Wang, H., Sun, B., Yu, S.: Using pointwise mutual information to identify implicit features in customer reviews. In: Matsumoto, Y., Sproat, R.W., Wong, K.-F., Zhang, M. (eds.) ICCPOL 2006. LNCS (LNAI), vol. 4285, pp. 22\u201330. Springer, Heidelberg (2006). https:\/\/doi.org\/10.1007\/11940098_3"},{"key":"37_CR29","doi-asserted-by":"crossref","unstructured":"Tamchyna, A., Veselovsk\u00e1, K.: UFAL at SemEval-2016 task 5: recurrent neural networks for sentence classification. In: Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016), pp. 367\u2013371 (2016)","DOI":"10.18653\/v1\/S16-1059"},{"issue":"4","key":"37_CR30","doi-asserted-by":"publisher","first-page":"2622","DOI":"10.1016\/j.eswa.2007.05.028","volume":"34","author":"S Tan","year":"2008","unstructured":"Tan, S., Zhang, J.: An empirical study of sentiment analysis for chinese documents. Expert Syst. Appl. 34(4), 2622\u20132629 (2008)","journal-title":"Expert Syst. Appl."},{"key":"37_CR31","doi-asserted-by":"crossref","unstructured":"Toh, Z., Su, J.: NLANGP at SemEval-2016 task 5: improving aspect based sentiment analysis using neural network features. In: Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016), pp. 282\u2013288 (2016)","DOI":"10.18653\/v1\/S16-1045"},{"key":"37_CR32","doi-asserted-by":"crossref","unstructured":"Xenos, D., Theodorakakos, P., Pavlopoulos, J., Malakasiotis, P., Androutsopoulos, I.: AUEB-ABSA at SemEval-2016 task 5: ensembles of classifiers and embeddings for aspect based sentiment analysis. In: Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016), pp. 312\u2013317 (2016)","DOI":"10.18653\/v1\/S16-1050"},{"key":"37_CR33","unstructured":"Xue, W., Zhou, W., Li, T., Wang, Q.: MTNA: a neural multi-task model for aspect category classification and aspect term extraction on restaurant reviews. In: Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 2: Short Papers), vol. 2, pp. 151\u2013156 (2017)"},{"key":"37_CR34","doi-asserted-by":"crossref","unstructured":"Zhou, X., Wan, X., Xiao, J.: Representation learning for aspect category detection in online reviews. In: AAAI, pp. 417\u2013424 (2015)","DOI":"10.1609\/aaai.v29i1.9194"}],"container-title":["Lecture Notes in Computer Science","Advances in Information Retrieval"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-15712-8_37","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T16:14:14Z","timestamp":1710346454000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-15712-8_37"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030157111","9783030157128"],"references-count":34,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-15712-8_37","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"7 April 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ECIR","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"European Conference on Information Retrieval","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Cologne","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Germany","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 April 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 April 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"41","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ecir2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/ecir2019.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}