{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,26]],"date-time":"2025-10-26T14:57:55Z","timestamp":1761490675908,"version":"3.37.3"},"publisher-location":"Cham","reference-count":20,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030000714"},{"type":"electronic","value":"9783030000721"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"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":[[2018]]},"DOI":"10.1007\/978-3-030-00072-1_11","type":"book-chapter","created":{"date-parts":[[2018,10,16]],"date-time":"2018-10-16T13:22:21Z","timestamp":1539696141000},"page":"129-139","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Domain-Aware Sentiment Classification with GRUs and CNNs"],"prefix":"10.1007","author":[{"given":"Guangyuan","family":"Piao","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"John G.","family":"Breslin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,10,17]]},"reference":[{"key":"11_CR1","series-title":"Communications in Computer and Information Science","doi-asserted-by":"publisher","first-page":"124","DOI":"10.1007\/978-3-319-69146-6_11","volume-title":"Semantic Web Challenges","author":"Mattia Atzeni","year":"2017","unstructured":"Atzeni, Mattia, Dridi, Amna, Reforgiato Recupero, Diego: Fine-grained sentiment analysis on financial microblogs and news headlines. In: Dragoni, Mauro, Solanki, Monika, Blomqvist, Eva (eds.) SemWebEval 2017. CCIS, vol. 769, pp. 124\u2013128. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-69146-6_11"},{"key":"11_CR2","doi-asserted-by":"crossref","unstructured":"Cho, K., et al.: Learning phrase representations using RNN encoder-decoder for statistical machine translation. arXiv preprint arXiv:1406.1078 (2014)","DOI":"10.3115\/v1\/D14-1179"},{"key":"11_CR3","unstructured":"Cliche, M.: BB\\_twtr at SemEval-2017 Task 4: twitter Sentiment Analysis with CNNs and LSTMs. CoRR abs\/1704.0 (2017), arXiv:1704.06125"},{"key":"11_CR4","doi-asserted-by":"crossref","unstructured":"Cortis, K., et al.: Semeval-2017 task 5: fine-grained sentiment analysis on financial microblogs and news. In: Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017), pp. 519\u2013535 (2017)","DOI":"10.18653\/v1\/S17-2089"},{"issue":"8","key":"11_CR5","doi-asserted-by":"publisher","first-page":"1915","DOI":"10.1109\/TPAMI.2012.231","volume":"35","author":"C Farabet","year":"2013","unstructured":"Farabet, C., Couprie, C., Najman, L., LeCun, Y.: Learning hierarchical features for scene labeling. IEEE Trans. Pattern Anal. Mach. Intell. 35(8), 1915\u20131929 (2013)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"11_CR6","series-title":"Communications in Computer and Information Science","doi-asserted-by":"publisher","first-page":"141","DOI":"10.1007\/978-3-319-46565-4_11","volume-title":"Semantic Web Challenges","author":"Marco Federici","year":"2016","unstructured":"Federici, Marco, Dragoni, Mauro: A knowledge-based approach for aspect-based opinion mining. In: Sack, Harald, Dietze, Stefan, Tordai, Anna, Lange, Christoph (eds.) SemWebEval 2016. CCIS, vol. 641, pp. 141\u2013152. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-46565-4_11"},{"issue":"8","key":"11_CR7","doi-asserted-by":"publisher","first-page":"1735","DOI":"10.1162\/neco.1997.9.8.1735","volume":"9","author":"S Hochreiter","year":"1997","unstructured":"Hochreiter, S., Schmidhuber, J.: Long short-term memory. Neural Comput. 9(8), 1735\u20131780 (1997). https:\/\/doi.org\/10.1162\/neco.1997.9.8.1735","journal-title":"Neural Comput."},{"key":"11_CR8","series-title":"Communications in Computer and Information Science","doi-asserted-by":"publisher","first-page":"129","DOI":"10.1007\/978-3-319-69146-6_12","volume-title":"Semantic Web Challenges","author":"Walid Iguider","year":"2017","unstructured":"Iguider, Walid, Reforgiato Recupero, Diego: Language independent sentiment analysis of the shukran social network using apache spark. In: Dragoni, Mauro, Solanki, Monika, Blomqvist, Eva (eds.) SemWebEval 2017. CCIS, vol. 769, pp. 129\u2013132. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-69146-6_12"},{"key":"11_CR9","doi-asserted-by":"crossref","unstructured":"Kalchbrenner, N., Grefenstette, E., Blunsom, P.: A convolutional neural network for modelling sentences. In: The 52nd Annual Meeting of the Association for Computational Linguistics (2014)","DOI":"10.3115\/v1\/P14-1062"},{"key":"11_CR10","doi-asserted-by":"crossref","unstructured":"Kim, Y.: Convolutional neural networks for sentence classification. In: Conference on Empirical Methods on Natural Language Processing (2014)","DOI":"10.3115\/v1\/D14-1181"},{"key":"11_CR11","unstructured":"Kingma, D., Ba, J.: Adam: a method for stochastic optimization. arXiv preprint arXiv:1412.6980 (2014)"},{"key":"11_CR12","unstructured":"Krizhevsky, A., Sutskever, I., Hinton, G.E.: Imagenet classification with deep convolutional neural networks. In: Advances in Neural Information Processing Systems, pp. 1097\u20131105 (2012)"},{"issue":"7553","key":"11_CR13","doi-asserted-by":"publisher","first-page":"436","DOI":"10.1038\/nature14539","volume":"521","author":"Y LeCun","year":"2015","unstructured":"LeCun, Y., Bengio, Y., Hinton, G.: Deep learning. Nature 521(7553), 436\u2013444 (2015)","journal-title":"Nature"},{"key":"11_CR14","unstructured":"LeCun, Y., et al.: Handwritten digit recognition with a back-propagation network. In: Advances in Neural Information Processing Systems, pp. 396\u2013404 (1990)"},{"key":"11_CR15","series-title":"Communications in Computer and Information Science","doi-asserted-by":"publisher","first-page":"148","DOI":"10.1007\/978-3-319-69146-6_14","volume-title":"Semantic Web Challenges","author":"Giulio Petrucci","year":"2017","unstructured":"Petrucci, Giulio, Dragoni, Mauro: The IRMUDOSA system at ESWC-2017 challenge on semantic sentiment analysis. In: Dragoni, Mauro, Solanki, Monika, Blomqvist, Eva (eds.) SemWebEval 2017. CCIS, vol. 769, pp. 148\u2013165. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-69146-6_14"},{"key":"11_CR16","doi-asserted-by":"crossref","unstructured":"Piao, G., Breslin, J.G.: Financial aspect and sentiment predictions with deep neural networks: an ensemble approach. In: Financial Opinion Mining and Question Answering Workshop at The Web Conference (WWW). ACM (2018)","DOI":"10.1145\/3184558.3191829"},{"key":"11_CR17","series-title":"Communications in Computer and Information Science","doi-asserted-by":"publisher","first-page":"109","DOI":"10.1007\/978-3-319-69146-6_10","volume-title":"Semantic Web Challenges","author":"Diego Reforgiato Recupero","year":"2017","unstructured":"Reforgiato Recupero, Diego, Cambria, Erik, Di Rosa, Emanuele: Semantic sentiment analysis challenge at ESWC2017. In: Dragoni, Mauro, Solanki, Monika, Blomqvist, Eva (eds.) SemWebEval 2017. CCIS, vol. 769, pp. 109\u2013123. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-69146-6_10"},{"issue":"1","key":"11_CR18","first-page":"1929","volume":"15","author":"N Srivastava","year":"2014","unstructured":"Srivastava, N., Hinton, G.E., Krizhevsky, A., Sutskever, I., Salakhutdinov, R.: Dropout: a simple way to prevent neural networks from overfitting. J. Mach. Learn. Res. 15(1), 1929\u20131958 (2014)","journal-title":"J. Mach. Learn. Res."},{"key":"11_CR19","unstructured":"Zhang, S., Yao, L., Sun, A.: Deep learning based recommender system: a survey and new perspectives. CoRR abs\/1707.0 (2017), arXiv:1707.07435"},{"key":"11_CR20","unstructured":"Zhang, Y., Wallace, B.C.: A sensitivity analysis of (and practitioners\u2019 guide to) convolutional neural networks for sentence classification. CoRR abs\/1510.0 (2015), arXiv:1510.03820"}],"container-title":["Communications in Computer and Information Science","Semantic Web Challenges"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-00072-1_11","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,26]],"date-time":"2019-10-26T18:14:14Z","timestamp":1572113654000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-00072-1_11"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783030000714","9783030000721"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-00072-1_11","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"SemWebEval","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Semantic Web Evaluation Challenge","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Heraklion","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Greece","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3 June 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7 June 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"semwebeval2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/2018.eswc-conferences.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}