{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T00:53:00Z","timestamp":1740099180043,"version":"3.37.3"},"publisher-location":"Cham","reference-count":21,"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_12","type":"book-chapter","created":{"date-parts":[[2018,10,16]],"date-time":"2018-10-16T13:22:21Z","timestamp":1539696141000},"page":"140-150","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Fine-Tuning of Word Embeddings for Semantic Sentiment Analysis"],"prefix":"10.1007","author":[{"given":"Mattia","family":"Atzeni","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Diego","family":"Reforgiato Recupero","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,10,17]]},"reference":[{"key":"12_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":"12_CR2","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"14","DOI":"10.1007\/978-3-319-98192-5_3","volume-title":"The Semantic Web: ESWC 2018 Satellite Events","author":"Mattia Atzeni","year":"2018","unstructured":"Atzeni, Mattia, Reforgiato Recupero, Diego: Deep learning and sentiment analysis for human-robot interaction. In: Gangemi, Aldo, Gentile, Anna Lisa, Nuzzolese, Andrea Giovanni, Rudolph, Sebastian, Maleshkova, Maria, Paulheim, Heiko, Pan, Jeff Z., Alam, Mehwish (eds.) ESWC 2018. LNCS, vol. 11155, pp. 14\u201318. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-319-98192-5_3"},{"key":"12_CR3","doi-asserted-by":"crossref","unstructured":"Baziotis, C., Pelekis, N., Doulkeridis, C.: DataStories at SemEval-2017 Task 4: deep LSTM with attention for message-level and topic-based sentiment analysis. In: Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017), pp. 747\u2013754. Association for Computational Linguistics (2017)","DOI":"10.18653\/v1\/S17-2126"},{"key":"12_CR4","doi-asserted-by":"crossref","unstructured":"Cliche, M.: BB\\_twtr at SemEval-2017 Task 4: Twitter sentiment analysis with CNNs and LSTMs. In: Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017). Association for Computational Linguistics (2017)","DOI":"10.18653\/v1\/S17-2094"},{"key":"12_CR5","unstructured":"Collobert, R., Weston, J.: A unified architecture for natural language processing: deep neural networks with multitask learning. In: Cohen, W.W., McCallum, A., Roweis, S.T. (eds.) Proceedings of the Twenty-Fifth International Conference Machine Learning (ICML 2008), Helsinki, Finland, June 5\u20139, 2008. ACM International Conference Proceeding Series, vol. 307, pp. 160\u2013167. ACM (2008). http:\/\/doi.acm.org\/10.1145\/1390156.1390177"},{"key":"12_CR6","doi-asserted-by":"crossref","unstructured":"Dridi, A., Atzeni, M., Reforgiato Recupero, D.: Finenews: fine-grained semantic sentiment analysis on financial microblogs and news. Int. J. Mach. Learn. Cybern. (2018). https:\/\/doi.org\/10.1007\/s13042-018-0805-x","DOI":"10.1007\/s13042-018-0805-x"},{"key":"12_CR7","doi-asserted-by":"publisher","first-page":"141","DOI":"10.1007\/978-3-319-46565-4_11","volume-title":"Semantic Web Challenges","author":"M Federici","year":"2016","unstructured":"Federici, M., Dragoni, M.: A knowledge-based approach for aspect-based opinion mining. In: Sack, H., Dietze, S., Tordai, A., Lange, C. (eds.) Semantic Web Challenges, pp. 141\u2013152. Springer International Publishing, Cham (2016)"},{"issue":"1","key":"12_CR8","doi-asserted-by":"publisher","first-page":"20","DOI":"10.1109\/MCI.2013.2291688","volume":"9","author":"Aldo Gangemi","year":"2014","unstructured":"Gangemi, A., Presutti, V., Reforgiato Recupero, D.: Frame-based detection of opinion holders and topics: a model and a tool. IEEE Comput. Intell. Mag. 9(1), 20\u201330 (2014). https:\/\/www.scopus.com\/inward\/record.uri?eid=2-s2.0-84893375456&doi=10.1109%2fMCI.2013.2291688&partnerID=40&md5=d4133e755c2d02956702b55a9b8dc5ab","journal-title":"IEEE Computational Intelligence Magazine"},{"issue":"8","key":"12_CR9","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). Nov","journal-title":"Neural Comput."},{"key":"12_CR10","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":"12_CR11","doi-asserted-by":"crossref","unstructured":"Lecun, Y., Bottou, L., Bengio, Y., Haffner, P.: Gradient-based learning applied to document recognition. In: Proceedings of the IEEE. IEEE Press (1998)","DOI":"10.1109\/5.726791"},{"key":"12_CR12","unstructured":"Mikolov, T., Sutskever, I., Chen, K., Corrado, G.S., Dean, J.: Distributed representations of words and phrases and their compositionality. In: Burges, C.J.C., Bottou, L., Ghahramani, Z., Weinberger, K.Q. (eds.) Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5\u20138, 2013, Lake Tahoe, Nevada, United States, pp. 3111\u20133119. Curran Associates Inc. (2013). http:\/\/papers.nips.cc\/paper\/5021-distributed-representations-of-words-and-phrases-and-their-compositionality"},{"key":"12_CR13","doi-asserted-by":"crossref","unstructured":"Palogiannidi, E., et al.: Tweester at semeval-2016 task 4: sentiment analysis in twitter using semantic-affective model adaptation. In: Bethard, S., Cer, D.M., Carpuat, M., Jurgens, D., Nakov, P., Zesch, T. (eds.) Proceedings of the 10th International Workshop on Semantic Evaluation, SemEval@NAACL-HLT 2016. The Association for Computer Linguistics (2016)","DOI":"10.18653\/v1\/S16-1023"},{"key":"12_CR14","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":"12_CR15","unstructured":"Raffel, C., Ellis, D.P.W.: Feed-forward networks with attention can solve some long-term memory problems. CoRR abs\/ arXiv:1512.08756 (2015). http:\/\/arxiv.org\/abs\/1512.08756"},{"key":"12_CR16","first-page":"245","volume-title":"Lecture Notes in Computer Science","author":"Diego Reforgiato Recupero","year":"2014","unstructured":"Recupero, D., Consoli, S., Gangemi, A., Nuzzolese, A., Spampinato, D.: A semantic web based core engine to efficiently perform sentiment analysis. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) vol. 8798, pp. 245\u2013248 (2014). https:\/\/www.scopus.com\/inward\/record.uri?eid=2-s2.0-84908681970&doi=10.1007"},{"key":"12_CR17","doi-asserted-by":"publisher","first-page":"109","DOI":"10.1007\/978-3-319-69146-6_10","volume-title":"Semantic Web Challenges","author":"D Reforgiato Recupero","year":"2017","unstructured":"Reforgiato Recupero, D., Cambria, E., Di Rosa, E.: Semantic sentiment analysis challenge at eswc2017. In: Dragoni, M., Solanki, M., Blomqvist, E. (eds.) Semantic Web Challenges, pp. 109\u2013123. Springer International Publishing, Cham (2017)"},{"issue":"2","key":"12_CR18","doi-asserted-by":"publisher","first-page":"211","DOI":"10.1007\/s12559-014-9302-z","volume":"7","author":"Diego Reforgiato\u00a0Recupero","year":"2014","unstructured":"Reforgiato Recupero, D., Presutti, V., Consoli, S., Gangemi, A., Nuzzolese, A.G.: Sentilo: frame-based sentiment analysis. Cognit. Comput. 7(2), 211\u2013225 (2015). https:\/\/doi.org\/10.1007\/s12559-014-9302-z","journal-title":"Cognitive Computation"},{"key":"12_CR19","doi-asserted-by":"crossref","unstructured":"Rosenthal, S., Farra, N., Nakov, P.: SemEval-2017 task 4: sentiment analysis in Twitter. In: Proceedings of the 11th International Workshop on Semantic Evaluation. SemEval 2017. Association for Computational Linguistics (2017)","DOI":"10.18653\/v1\/S17-2088"},{"issue":"1","key":"12_CR20","first-page":"1929","volume":"15","author":"N Srivastava","year":"2014","unstructured":"Srivastava, N., Hinton, G., 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). Jan","journal-title":"J. Mach. Learn. Res."},{"key":"12_CR21","doi-asserted-by":"crossref","unstructured":"Stojanovski, D., Strezoski, G., Madjarov, G., Dimitrovski, I.: Finki at semeval-2016 task 4: deep learning architecture for twitter sentiment analysis. In: Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016), pp. 149\u2013154. Association for Computational Linguistics (2016)","DOI":"10.18653\/v1\/S16-1022"}],"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_12","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,26]],"date-time":"2019-10-26T18:14:24Z","timestamp":1572113664000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-00072-1_12"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783030000714","9783030000721"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-00072-1_12","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"}}]}}