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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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