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Hits 1 – 20 of 21

1	Evaluating the use of mobile technologies for language learning purposes
	Rosell Aguilar, Fernando. - : Universitat Politècnica de València, 2021
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2	Time of your hate: The challenge of time in hate speech detection on social media
	Florio K.; Basile V.; Polignano M.. - 2020
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3	Determining Response-generating Contexts on Microblogging Platforms ...
	Fest, Jennifer; Heilmann, Arndt; Hohlfeld, Oliver. - : RWTH Aachen University, 2019
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4	Ґендерна диференціація комунікативних стратегій в англомовному мікроблогінгу
	Прокопенко, Антоніна; Рава, Валерія
	In: Contemporary Studies in Foreign Philology; № 17 (2019): CONTEMPORARY STUDIES IN FOREIGN PHILOLOGY; 104-111 ; Сучасні дослідження з іноземної філології; № 17 (2019): СУЧАСНІ ДОСЛІДЖЕННЯ З ІНОЗЕМНОЇ ФІЛОЛОГІЇ; 104-111 ; 2617-3921 (2019)
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5	Modelling fashion microblogs to increase the influence of social media marketing in Ireland and China
	Shen, Zheng. - : University College Cork, 2019
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6	Students as Producers: A Case Study of Technology-Based Projects
	Cecilia Titiek Murniati; Ridwan Sanjaya
	In: Celt: A Journal of Culture, English Language Teaching & Literature, Vol 17, Iss 2, Pp 121-138 (2017) (2017)
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7	2016, « Les tweets : un lieu pour la créativité lexicale ? »
	Reboul-Touré, Sandrine
	In: Jacquet-Pfau C. et Sablayrolles J.-F. (dir.), La fabrique des mots français, Lambert-Lucas, 313-326. ; https://hal-univ-paris3.archives-ouvertes.fr/hal-01599333 ; Jacquet-Pfau C. et Sablayrolles J.-F. (dir.), La fabrique des mots français, Lambert-Lucas, 313-326. , 2016 (2016)
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8	Stock market sentiment lexicon acquisition using microblogging data and statistical measures
	Oliveira, Nuno Miguel Rocha; Cortez, Paulo; Areal, Nelson. - : Elsevier Science BV, 2016
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9	Comunicar en 140 caracteres.: Cómo usan Twitter los comunicadores en España
	Arrabal, Gabriel; Aguilera Moyano, Miguel de
	In: Comunicar: Revista científica iberoamericana de comunicación y educación, ISSN 1134-3478, Nº 46, 2016, pags. 9-17 (2016)
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10	Корпоративный микроблогинг в обучении немецкому языку для специальных целей
	МОРОЗОВА МАЙЯ АНДРЕЕВНА. - : Федеральное государственное автономное образовательное учреждение высшего профессионального образования «Северный (Арктический) федеральный университет им. М.В. Ломоносова», 2015
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11	Deep Tweets: from Entity Linking to Sentiment Analysis
	Basile, Pierpaolo; Basile, Valerio; Nissim, Malvina...
	In: Proceedings of the Italian Computational Linguistics Conference (CLiC-it 2015) ; https://hal.inria.fr/hal-01342435 ; Proceedings of the Italian Computational Linguistics Conference (CLiC-it 2015), Dec 2015, Trento, Italy (2015)
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12	Crowdsourcing Dialect Characterization through Twitter
	Goncalves, Bruno; Sanchez, David
	In: ISSN: 1932-6203 ; EISSN: 1932-6203 ; PLoS ONE ; https://hal-amu.archives-ouvertes.fr/hal-01242109 ; PLoS ONE, Public Library of Science, 2014, 9 (e112074 ), ⟨10.1371/journal.pone.0112074⟩ (2014)
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13	CrisisLex: A Lexicon for Collecting and Filtering Microblogged Communications in Crises
	Olteanu, Alexandra; Castillo, Carlos; Diaz, Fernando...
	In: Proceedings of the International AAAI Conference on Web and Social Media; Vol. 8 No. 1 (2014): Eighth International AAAI Conference on Weblogs and Social Media ; 2334-0770 ; 2162-3449 (2014)
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14	Live-Tweeting im Polit-Talk: rezeptive Twitternutzung und Responsivität
	Bündgens-Kosten, Judith
	In: kommunikation @ gesellschaft ; 15 ; 16 (2014)
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15	Automatic creation of stock market lexicons for sentiment analysis using StockTwits data
	Oliveira, Nuno; Cortez, Paulo; Areal, Nelson. - : ACM, 2014
	Abstract: Sentiment analysis has been increasingly applied to the stock market domain. In particular, investor sentiment indicators can be used to model and predict stock market variables. In this context, the quality of the sentiment analysis is highly dependent of the opinion lexicon adopted. However, there is a lack of lexicons adjusted to microblogging stock market data. In this work, we propose an automatic procedure for the creation of such lexicon by exploring a large set of labeled messages from StockTwits, a popular financial microblogging service, and using four statistical measures: adaptations of the known TF-IDF, Information Gain, Class Percentage, and a newly proposed Weighted Class Probability. The obtained lexicons are competitive when compared with a set of six reference lexicons. Moreover, we verified that it is beneficial to use continuous sentiment scores instead of sentiment labels. ; We wish to thank StockTwits for kindly providing their data. This work has been supported by FCT - Fundacao para a Ciencia e Tecnologia within the Project Scope: PEst-OE/EEI/UI0319/2014.
	Keyword: Ciências Naturais::Ciências da Computação e da Informação; Information retrieval; Lexicon; Microblogging data; Opinion mining; Science & Technology; Sentiment analysis; Stock market
	URL: https://doi.org/10.1145/2628194.2628235 http://hdl.handle.net/1822/31273
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16	Normalizing Twitter: Journalism Practice in an Emerging Communication Space
	Lasorsa, Dominic L.; Lewis, Seth C.; Holton, Avery E.. - : Taylor and Francis, 2012
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17	Microblogging for language learning: Using Twitter to train communicative and cultural competence
	Kerstin Borau; Carsten Ullrich; Jinjin Feng...
	In: http://www.carstenullrich.net/pubs/Borau09Microblogging.pdf (2009)
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18	C.: Indicators for the analysis of learning and practice communities from the perspective of microblogging as a provocative sociolect in virtual space
	Gabriela Grosseck; Carmen Holotescu
	In: http://faculty.ksu.edu.sa/aljarf/documents/else educational technology conference 2009 - romania/1050.1.grosseck_holotescu.pdf (2009)
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19	User Community Reconstruction using Sampled Microblogging Data
	Miki Enoki; Yohei Ikawa; Raymond Rudy
	In: http://www2012.wwwconference.org/proceedings/companion/p657.pdf
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20	Mining Sentiment Words from Microblogs for Predicting Writer-Reader Emotion Transition
	Yi-jie Tang; Hsin-hsi Chen
	In: http://www.lrec-conf.org/proceedings/lrec2012/pdf/117_Paper.pdf
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