{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,8]],"date-time":"2026-03-08T00:49:04Z","timestamp":1772930944612,"version":"3.50.1"},"publisher-location":"Cham","reference-count":32,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783319540443","type":"print"},{"value":"9783319540450","type":"electronic"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-3-319-54045-0_20","type":"book-chapter","created":{"date-parts":[[2017,2,20]],"date-time":"2017-02-20T12:33:18Z","timestamp":1487593998000},"page":"273-287","source":"Crossref","is-referenced-by-count":22,"title":["Mining User Requirements from Application Store Reviews Using Frame Semantics"],"prefix":"10.1007","author":[{"given":"Nishant","family":"Jha","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anas","family":"Mahmoud","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,2,21]]},"reference":[{"key":"20_CR1","doi-asserted-by":"crossref","unstructured":"Agarwal, A., Balasubramanian, S., Kotalwar, A., Zheng, J., Rambow, O.: Frame semantic tree kernels for social network extraction from text. In: Conference of the European Chapter of the Association for Computational Linguistics, pp. 211\u2013219 (2014)","DOI":"10.3115\/v1\/E14-1023"},{"key":"20_CR2","doi-asserted-by":"crossref","unstructured":"Baker, C., Fillmore, C., Lowe, J.: The Berkeley framenet project. In: International Conference on Computational Linguistics, pp. 86\u201390 (1998)","DOI":"10.3115\/980451.980860"},{"key":"20_CR3","first-page":"993","volume":"3","author":"D Blei","year":"2003","unstructured":"Blei, D., Ng, A., Jordan, M.: Latent dirichlet allocation. J. Mach. Learn. Res. 3, 993\u20131022 (2003)","journal-title":"J. Mach. Learn. Res."},{"key":"20_CR4","volume-title":"The Adaptive Web: Methods and Strategies of Web Personalization","year":"2007","unstructured":"Brusilovsky, P., Kobsa, A., Nejdl, W. (eds.): The Adaptive Web: Methods and Strategies of Web Personalization. Springer, Heidelberg (2007). pp. 335\u2013336"},{"issue":"2","key":"20_CR5","doi-asserted-by":"crossref","first-page":"121","DOI":"10.1023\/A:1009715923555","volume":"2","author":"C Burges","year":"1998","unstructured":"Burges, C.: A tutorial on support vector machines for pattern recognition. Data Min. Knowl. Discov. 2(2), 121\u2013167 (1998)","journal-title":"Data Min. Knowl. Discov."},{"key":"20_CR6","doi-asserted-by":"crossref","unstructured":"Carre\u0144o, G., Winbladh, K.: Analysis of user comments: an approach for software requirements evolution. In: International Conference on Software Engineering, pp. 582\u2013591 (2013)","DOI":"10.1109\/ICSE.2013.6606604"},{"key":"20_CR7","doi-asserted-by":"crossref","unstructured":"Chen, N., Lin, J., Hoi, S., Xiao, X., Zhang, B.: AR-Miner: mining informative reviews for developers from mobile app marketplace. In: International Conference on Software Engineering, pp. 767\u2013778 (2014)","DOI":"10.1145\/2568225.2568263"},{"key":"20_CR8","unstructured":"Das, D., Schneider, N., Chen, D., Smith, N.: SEMAFOR 1.0: A probabilistic frame-semantic parser (2010)"},{"key":"20_CR9","doi-asserted-by":"crossref","DOI":"10.1007\/b97673","volume-title":"Design and Analysis of Experiments","author":"A Dean","year":"1999","unstructured":"Dean, A., Voss, D.: Design and Analysis of Experiments. Springer, Heidelberg (1999)"},{"key":"20_CR10","doi-asserted-by":"crossref","unstructured":"Fillmore, C.: Frame semantics and the nature of language. In: Annals of the New York Academy of Sciences: Conference on the Origin and Development of Language and Speech, pp. 20\u201332 (1976)","DOI":"10.1111\/j.1749-6632.1976.tb25467.x"},{"key":"20_CR11","doi-asserted-by":"crossref","unstructured":"Fleischman, M., Kwon, N., Hovy, E.: Maximum entropy models for FrameNet classification. In: Empirical Methods in Natural Language Processing, pp. 49\u201356 (2003)","DOI":"10.3115\/1119355.1119362"},{"key":"20_CR12","doi-asserted-by":"crossref","unstructured":"Guzman, E., Maalej, W.: How do users like this feature? A fine grained sentiment analysis of app reviews. In: Requirements Engineering Conference, pp. 153\u2013162 (2014)","DOI":"10.1109\/RE.2014.6912257"},{"key":"20_CR13","unstructured":"Hasa, K., Ng, V.: Frame semantics for stance classification. In: Computational Natural Language Learning, pp. 124\u2013132 (2013)"},{"key":"20_CR14","doi-asserted-by":"crossref","unstructured":"Iacob, C., Harrison, R.: Retrieving and analyzing mobile apps feature requests from online reviews. In: Mining Software Repositories, pp. 41\u201344 (2013)","DOI":"10.1109\/MSR.2013.6624001"},{"key":"20_CR15","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"137","DOI":"10.1007\/BFb0026683","volume-title":"Machine Learning: ECML-98","author":"T Joachims","year":"1998","unstructured":"Joachims, T.: Text categorization with support vector machines: learning with many relevant features. In: N\u00e9dellec, C., Rouveirol, C. (eds.) ECML 1998. LNCS, vol. 1398, pp. 137\u2013142. Springer, Heidelberg (1998). doi: 10.1007\/BFb0026683"},{"key":"20_CR16","unstructured":"Kohavi, R.: A study of cross-validation and bootstrap for accuracy estimation and model selection. In: International Joint Conference on Artificial Intelligence, pp. 1137\u20131143 (1995)"},{"key":"20_CR17","unstructured":"Kumar Sinha, S.: Answering Questions About Complex Events. University of California at Berkeley (2008)"},{"key":"20_CR18","unstructured":"Langley, P., Iba, W., Thompson, K.: An analysis of Bayesian classifiers. In: National Conference on Artificial Intelligence, pp. 223\u2013228 (1992)"},{"key":"20_CR19","first-page":"22","volume":"11","author":"J Lovins","year":"1968","unstructured":"Lovins, J.: Development of a stemming algorithm. Mech. Transl. Comput. Linguist. 11, 22\u201331 (1968)","journal-title":"Mech. Transl. Comput. Linguist."},{"key":"20_CR20","doi-asserted-by":"crossref","unstructured":"Maalej, W., Nabil, H.: Bug report, feature request, or simply praise? On automatically classifying app reviews. In: Requirements Engineering Conference, pp. 116\u2013125 (2015)","DOI":"10.1109\/RE.2015.7320414"},{"key":"20_CR21","doi-asserted-by":"crossref","unstructured":"Martin, W., Harman, M., Jia, Y., Sarro, F., Zhang, Y.: The app sampling problem for app store mining. In: Working Conference on Mining Software Repositories, pp. 123\u2013133 (2015)","DOI":"10.1109\/MSR.2015.19"},{"key":"20_CR22","unstructured":"McCallum, A., Nigam, K.: A comparison of event models for naive Bayes text classification. In: AAAI-98 Workshop on Learning for Text Categorization, pp. 41\u201348 (1998)"},{"key":"20_CR23","volume-title":"Machine Learning","author":"T Mitchell","year":"1997","unstructured":"Mitchell, T.: Machine Learning. McGraw-Hill, New York City (1997)"},{"key":"20_CR24","unstructured":"Moschitti, A., Morarescu, P., Harabagiu, S.: Open domain information extraction via automatic semantic labeling. In: The Florida Artificial Intelligence Research Society Conference, pp. 397\u2013401 (2003)"},{"key":"20_CR25","doi-asserted-by":"crossref","unstructured":"Pagano, D., Maalej, W.: User feedback in the AppStore: an empirical study. In: Requirements Engineering Conference, pp. 125\u2013134 (2013)","DOI":"10.1109\/RE.2013.6636712"},{"key":"20_CR26","doi-asserted-by":"crossref","unstructured":"Panichella, S., Di Sorbo, A., Guzman, E., Visaggio, C., Canfora, G., Gall, H.: How can I improve my app? Classifying user reviews for software maintenance and evolution. In: International Conference on Software Maintenance and Evolution, pp. 281\u2013290 (2015)","DOI":"10.1109\/ICSM.2015.7332474"},{"key":"20_CR27","volume-title":"Advances in Kernel Methods - Support Vector Learning","author":"J Platt","year":"1998","unstructured":"Platt, J.: Fast training of Support Vector Machines using sequential minimal optimization. In: Schoelkopf, B., Burges, C., Smola, A. (eds.) Advances in Kernel Methods - Support Vector Learning. MIT Press, Cambridge (1998)"},{"issue":"1","key":"20_CR28","first-page":"81","volume":"1","author":"J Quinlan","year":"1986","unstructured":"Quinlan, J.: Induction of decision trees. Mach. Learn. 1(1), 81\u2013106 (1986)","journal-title":"Mach. Learn."},{"key":"20_CR29","unstructured":"Shen, D., Lapata, M.: Using semantic roles to improve question answering. In: Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, pp. 12\u201321 (2007)"},{"key":"20_CR30","first-page":"67","volume":"2","author":"I Steinwart","year":"2001","unstructured":"Steinwart, I.: On the influence of the kernel on the consistency of Support Vector Machines. J. Mach. Learn. Res. 2, 67\u201393 (2001)","journal-title":"J. Mach. Learn. Res."},{"key":"20_CR31","doi-asserted-by":"crossref","first-page":"29","DOI":"10.1016\/j.chemolab.2005.09.003","volume":"81","author":"B \u00dcst\u00fcn","year":"2006","unstructured":"\u00dcst\u00fcn, B., Melssen, W., Buydens, L.: Facilitating the application of support vector regression by using a universal Pearson VII function based kernel. Chemometr. Intell. Lab. Syst. 81, 29\u201340 (2006)","journal-title":"Chemometr. Intell. Lab. Syst."},{"key":"20_CR32","unstructured":"Xie, B., Passonneau, R., Wu, L., Creamer, G.: Semantic frames to predict stock price movement. In: Annual Meeting of the Association for Computational Linguistics, pp. 873\u2013883 (2013)"}],"container-title":["Lecture Notes in Computer Science","Requirements Engineering: Foundation for Software Quality"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-54045-0_20","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,18]],"date-time":"2019-09-18T21:57:18Z","timestamp":1568843838000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-54045-0_20"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319540443","9783319540450"],"references-count":32,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-54045-0_20","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017]]}}}