{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:26:22Z","timestamp":1750220782328,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":24,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,6,26]],"date-time":"2020-06-26T00:00:00Z","timestamp":1593129600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,6,30]]},"DOI":"10.1145\/3389189.3397992","type":"proceedings-article","created":{"date-parts":[[2020,11,30]],"date-time":"2020-11-30T16:08:03Z","timestamp":1606752483000},"page":"1-4","source":"Crossref","is-referenced-by-count":8,"title":["A machine learning approach for gender identification of Greek tweet authors"],"prefix":"10.1145","author":[{"given":"Spiros","family":"Baxevanakis","sequence":"first","affiliation":[{"name":"Ionian University, Corfu, Ionian Islands, Greece"}]},{"given":"Stelios","family":"Gavras","sequence":"additional","affiliation":[{"name":"Ionian University, Corfu, Ionian Islands, Greece"}]},{"given":"Despoina","family":"Mouratidis","sequence":"additional","affiliation":[{"name":"Ionian University, Corfu, Ionian Islands, Greece"}]},{"given":"Katia Lida","family":"Kermanidis","sequence":"additional","affiliation":[{"name":"Ionian University, Corfu, Ionian Islands, Greece"}]}],"member":"320","published-online":{"date-parts":[[2020,6,26]]},"reference":[{"key":"e_1_3_2_2_1_1","unstructured":"(accessed January 10 2020). Stopwords Github. https:\/\/github.com\/stopwordsiso\/stopwords-el  (accessed January 10 2020). Stopwords Github. https:\/\/github.com\/stopwordsiso\/stopwords-el"},{"key":"e_1_3_2_2_2_1","unstructured":"(accessed January 10 2020). Stopwords NLP Law project. https:\/\/github.com\/xtsimpouris\/gr-nlp-law  (accessed January 10 2020). Stopwords NLP Law project. https:\/\/github.com\/xtsimpouris\/gr-nlp-law"},{"key":"e_1_3_2_2_3_1","unstructured":"(accessed January 10 2020). Stopwords nltk. https:\/\/www.nltk.org\/index.html  (accessed January 10 2020). Stopwords nltk. https:\/\/www.nltk.org\/index.html"},{"key":"e_1_3_2_2_4_1","unstructured":"(accessed March 1 2020). Twitter API. https:\/\/developer.twitter.com\/  (accessed March 1 2020). Twitter API. https:\/\/developer.twitter.com\/"},{"key":"e_1_3_2_2_5_1","unstructured":"(accessed March 25 2020). pan. https:\/\/pan.webis.de\/  (accessed March 25 2020). pan. https:\/\/pan.webis.de\/"},{"key":"e_1_3_2_2_6_1","unstructured":"(accessed March 25 2020). Python Programming Language. https:\/\/www.python.org\/  (accessed March 25 2020). Python Programming Language. https:\/\/www.python.org\/"},{"volume-title":"International Conference on Application of Natural Language to Information Systems. Springer, 221--226","year":"2006","author":"Fatih Amasyal\u0131 M","key":"e_1_3_2_2_7_1"},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/1461928.1461959"},{"volume-title":"Author identification using multi-headed recurrent neural networks. arXiv preprint arXiv:1506.04891","year":"2015","author":"Bagnall Douglas","key":"e_1_3_2_2_9_1"},{"volume-title":"Author Profiling using SVMs and Word Embedding Averages - Notebook for PAN at CLEF","year":"2016","author":"Bayot Roy","key":"e_1_3_2_2_10_1"},{"key":"e_1_3_2_2_11_1","unstructured":"Konstantinos Bougiatiotis and Anastasia Krithara. 2016. Author Profiling using Complementary Second Order Attributes and Stylometric Features.. In CLEF (Working Notes). 836--845.  Konstantinos Bougiatiotis and Anastasia Krithara. 2016. Author Profiling using Complementary Second Order Attributes and Stylometric Features.. In CLEF (Working Notes). 836--845."},{"volume-title":"Support-vector networks. Machine learning 20, 3","year":"1995","author":"Cortes Corinna","key":"e_1_3_2_2_12_1"},{"volume-title":"Author Profiling Using Support Vector Machines Notebook for PAN at CLEF","year":"2016","author":"Deyab Rodwan Bakkar","key":"e_1_3_2_2_13_1"},{"key":"e_1_3_2_2_14_1","unstructured":"Daniel Dichiu and Irina Rancea. 2016. Using Machine Learning Algorithms for Author Profiling In Social Media.. In CLEF (Working Notes). 858--863.  Daniel Dichiu and Irina Rancea. 2016. Using Machine Learning Algorithms for Author Profiling In Social Media.. In CLEF (Working Notes). 858--863."},{"key":"e_1_3_2_2_15_1","volume-title":"Proceedings of 3rd international conference on document analysis and recognition","volume":"1","author":"Ho Tin Kam","year":"1995"},{"volume-title":"Convolutional neural networks for sentence classification. arXiv preprint arXiv:1408.5882","year":"2014","author":"Kim Yoon","key":"e_1_3_2_2_16_1"},{"key":"e_1_3_2_2_17_1","unstructured":"Ilia Markov Helena G\u00f3mez-Adorno Grigori Sidorov and Alexander F Gelbukh. 2016. Adapting Cross-Genre Author Profiling to Language and Corpus.. In CLEF (Working Notes). 947--955.  Ilia Markov Helena G\u00f3mez-Adorno Grigori Sidorov and Alexander F Gelbukh. 2016. Adapting Cross-Genre Author Profiling to Language and Corpus.. In CLEF (Working Notes). 947--955."},{"volume-title":"AAAI Spring Symposium: Analyzing Microtext.","author":"George","key":"e_1_3_2_2_18_1"},{"volume-title":"CEUR Workshop Proceedings. 846--857","year":"2016","author":"op Vollenbroek Mart Busger","key":"e_1_3_2_2_19_1"},{"key":"e_1_3_2_2_20_1","doi-asserted-by":"publisher","DOI":"10.5555\/1953048.2078195"},{"volume-title":"Gender identification in Modern Greek tweets. Recent Contributions to Quantitative Linguistics 70","year":"2015","author":"Mikros-Kostas Perifanos George K","key":"e_1_3_2_2_21_1"},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"crossref","unstructured":"Erhan Sezerer Ozan Polatbilek \u00d6zge Sevgili and Selma Tekir. 2018. Gender Prediction From Tweets With Convolutional Neural Networks.  Erhan Sezerer Ozan Polatbilek \u00d6zge Sevgili and Selma Tekir. 2018. Gender Prediction From Tweets With Convolutional Neural Networks.","DOI":"10.1109\/SIU.2019.8806315"},{"key":"e_1_3_2_2_23_1","unstructured":"Xiang Zhang Junbo Zhao and Yann LeCun. 2015. Character-level convolutional networks for text classification. In Advances in neural information processing systems. 649--657.  Xiang Zhang Junbo Zhao and Yann LeCun. 2015. Character-level convolutional networks for text classification. In Advances in neural information processing systems. 649--657."},{"volume-title":"Lau","year":"2015","author":"Zhou Chunting","key":"e_1_3_2_2_24_1"}],"event":{"name":"PETRA '20: The 13th PErvasive Technologies Related to Assistive Environments Conference","sponsor":["NSF National Science Foundation","CSE@UTA Department of Computer Science and Engineering, The University of Texas at Arlington","NCRS Demokritos National Center for Scientific Research"],"location":"Corfu Greece","acronym":"PETRA '20"},"container-title":["Proceedings of the 13th ACM International Conference on PErvasive Technologies Related to Assistive Environments"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3389189.3397992","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3389189.3397992","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T22:41:31Z","timestamp":1750200091000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3389189.3397992"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,6,26]]},"references-count":24,"alternative-id":["10.1145\/3389189.3397992","10.1145\/3389189"],"URL":"https:\/\/doi.org\/10.1145\/3389189.3397992","relation":{},"subject":[],"published":{"date-parts":[[2020,6,26]]}}}