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How much is said in a microblog?

Han-Teng Liao, King-Wa Fu, Scott A. Hale
2015 Proceedings of the ACM Web Science Conference on ZZZ - WebSci '15  
text varies depending on both the type of organization and the language of the post.  ...  Focusing on three different languages (English, Chinese, and Japanese), this research analyses Weibo and Twitter accounts of major embassies and news agencies.  ...  Acknowledgments This research was supported in part by the University of Oxford's ESRC Impact Acceleration Account and Higher Education Innovation Fund (HEIF) allocation.  ... 
doi:10.1145/2786451.2786486 dblp:conf/websci/LiaoFH15 fatcat:zxsvnqgngjacbds56k7kkcrhju

Twitter and Middle East respiratory syndrome, South Korea, 2015: A multi-lingual study

Isaac Chun-Hai Fung, Jing Zeng, Chung-Hong Chan, Hai Liang, Jingjing Yin, Zhaochong Liu, Zion Tsz Ho Tse, King-Wa Fu
2018 Infection Disease & Health  
The 2015 South Korean MERS outbreak presented an opportunity for us to compare tweets responding to the same outbreak in different languages.  ...  Acknowledgment The authors thank Fiona Suwana, Yuko Clay, Juwon Park, Yizhou (May) Shi for manual editing of the Google English  ...  Our study extended the existing literature on Twitter and MERS in Korea by going beyond the English and Korean languages by including tweets in Indonesian, Japanese and Thai.  ... 
doi:10.1016/j.idh.2017.08.005 pmid:30479298 pmcid:PMC7185480 fatcat:cv7bo4kn25hexhv7itqtuyog2a

Online Realtime Sentiment Analysis Tweets by Utilizing Streaming API Features From Twitter

Nfn Bahrawi
2019 Jurnal Penelitian Pos dan Informatika  
Twitter is one of the social media that has a simple and fast concept, because short messages, news or information on Twitter can be more easily digested.  ...  Sentiment analysis is one of the branches of the science of Text mining where text mining is a natural language processing technique and analytical method that is applied to text data to obtain relevant  ...  In this study, the Vader library is used to analyze each existing tweet.  ... 
doi:10.17933/jppi.v9i1.271 fatcat:ffj6eblvf5csthst4ugokgunwu

Exploiting Geo-tagged Tweets to Understand Localized Language Diversity

Amr Magdy, Thanaa M. Ghanem, Mashaal Musleh, Mohamed F. Mokbel
2007 Proceedings of Workshop on Managing and Mining Enriched Geo-Spatial Data - GeoRich'14  
Our study shows useful insights about language usage on Twitter which provide important information for language-based applications on top of Twitter data, e.g., lingual analysis and disaster management  ...  Social media services are the top-growing online communities in the last few years. Among those, Twitter becomes the de facto of microblogging services with millions of tweets posted everyday.  ...  on the map of Twitter languages in the country.  ... 
doi:10.1145/2619112.2619114 dblp:conf/sigmod/0001GMM14 fatcat:a6dcwvk2yvcrfp65mlkiglb2ou

Language independent gender classification on Twitter

Jalal S. Alowibdi, Ugo A. Buy, Philip Yu
2013 Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining - ASONAM '13  
We prove the validity of our approach by examining different classifiers over a large dataset of Twitter profiles.  ...  Our approach is independent of the user's language, efficient, and scalable, while attaining a good level of accuracy.  ...  are restricted to one language or few languages. • We validated our approach by analyzing different classifiers over a large dataset of Twitter profiles.  ... 
doi:10.1145/2492517.2492632 dblp:conf/asunam/AlowibdiBY13 fatcat:cuw65liulnaubnlror4uj4jdai


Timothy James Neff, Dariusz Jemielniak
2021 Selected Papers of Internet Research, SPIR  
by news media coverage of the talks; the other by Twitter users who shared news content about the talks.  ...  and dissent, even if the existence or efficacy of such a transnational sphere is a matter of great debate (Fraser, 2007).  ...  : one produced by news media coverage of the talks; the other by Twitter users who shared news content about the talks.  ... 
doi:10.5210/spir.v2021i0.12217 fatcat:3fsclj2wbnamhod7qrxrcsdkya

Analysis of the Ethiopic Twitter Dataset for Abusive Speech in Amharic [article]

Seid Muhie Yimam and Abinew Ali Ayele and Chris Biemann
2019 arXiv   pre-print
In this paper, we present an analysis of the first Ethiopic Twitter Dataset for the Amharic language targeted for recognizing abusive speech.  ...  Since several languages can be written using the Fidel script, we have used the existing Amharic, Tigrinya and Ge'ez corpora to retain only the Amharic tweets.  ...  In the following sub-section, we will analyze particularly the emergence and proliferation of abusive speech on Twitter.  ... 
arXiv:1912.04419v1 fatcat:tpt352kvazbfxhfi32oo5v7tzu

A review of Sentiment Analysis in Spanish

Carlos Henriquez Miranda, Jaime Guzman
For this reason, the scientific community is interested in studies in other languages. This paper provides a brief overview of the current state of sentiment analysis in Spanish language.  ...  Companies and organizations are interested in knowing of their reputation in social networks, blogs, wikis, and other Web sites. Until now, the vast majority of the work involves systems in English.  ...  This is probably due to the large amount of linguistic resources existing in this language.  ... 
doi:10.18180/tecciencia.2017.22.5 fatcat:fo7vojldubbx7o37quilzf37cy

A Literature Review on Twitter Data Analysis

Hana Anber, Akram Salah, A. A. Abd El-Aziz
2016 International Journal of Computer and Electrical Engineering  
The widespread and different types of information on Twitter make it one of the most appropriate virtual environments for information monitoring and tracking.  ...  In this paper, the authors review different information analysis techniques; starting with the analysis of different hashtags, twitter's network-topology, event spread over the network, identification  ...  Sentiment Analysis Sentiment analysis is the measure of people's opinions on the level of agreement on a specific topic, a product, or a service, or even elections.  ... 
doi:10.17706/ijcee.2016.8.3.241-249 fatcat:udrckrkzovdjphbqobdkk4adj4

Analysis of Opinion Mining on Social Media Data Streams using Hadoop

Padala S., Archana Raghuvamshi
2016 International Journal of Computer Applications  
Opinion mining over the Twitter offers organizations a fast and effective way to monitor the feelings of public towards their services.  ...  It focuses on predicting the polarity of words and then classifies them into positive and negative feelings with the aim of identifying attitude and opinions that are expressed in any form or language.  ...  The raw twitter messages are dragged using this "Twitter"s user timeline API" from which the specific tweet and the user information can be obtained.  ... 
doi:10.5120/ijca2016912336 fatcat:ewpsa5fsrvhbjosl6kat4hf7k4

Out of vocabulary words decrease, running texts prevail and hashtags coalesce: Twitter as an evolving sociolinguistic system [article]

Suman Kalyan Maity, Bhadreswar Ghuku, Abhishek Upmanyu, Animesh Mukherjee
2015 arXiv   pre-print
Twitter is one of the most popular social media. Due to the ease of availability of data, Twitter is used significantly for research purposes.  ...  We also analyze and propose quantitative reasons for repetition and coalescing of hashtags in Twitter.  ...  The authors would like to thank Prof. Chris Biemann, TU Darmstadt for providing them with a historical Twitter 1% random sample data.  ... 
arXiv:1509.05096v1 fatcat:6acctc5ydvfelluab7wgfokvuq

Modeling and OLAPing social media: the case of Twitter

Maha Ben Kraiem, Jamel Feki, Kaïs Khrouf, Franck Ravat, Olivier Teste
2015 Social Network Analysis and Mining  
of interacting and exchanging information on the Internet.  ...  The proposed model reflects on some specifics such as recursive references between tweets, Empty dimension, and different types of hierarchies. It is implemented using NetBeans IDE platform.  ...  We start by studying works that aimed at analyzing social media in one or another specific scenario.  ... 
doi:10.1007/s13278-015-0286-9 fatcat:zfdabsitind3hniiouwpjkknty

Microblogging during the European Floods 2013

Christian Reuter, Julian Schröter
2015 International Journal of Information Systems for Crisis Response and Management  
However its analysis by emergency services still bears unaddressed challenges and the majority of studies focus on the use of social media in the USA.  ...  In this paper German tweets of the European Flood 2013 are therefore captured and analyzed using descriptive statistics, qualitative data coding, and computational algorithms.  ...  ACKNOWLEDGEMENTS The research project EmerGent' was funded by a grant of the European Union (FP7 No. 608352).  ... 
doi:10.4018/ijiscram.2015010102 fatcat:jrw6sdcj2rh7ni5fzwcpwjav5q

Social Media based Emergency Response System

Veeralahari Dandu
2020 International Journal for Research in Applied Science and Engineering Technology  
Twitter offers various organizations a fast and effective way to analyze customers perspectives toward the critical to success in the market place.  ...  Public and private opinion about a wide variety of subjects are expressed and spread continually through numerous social media. Twitter is one of the social mediaplatforms that is gaining popularity.  ...  The method employs natural language processing analysis on a collected corpus and determines negative sentiments within a specific context.  ... 
doi:10.22214/ijraset.2020.6193 fatcat:kmbxfhm2zbhitbqjpkygxnnknq

The journalistic utterance on Twitter

Mabel Oliveira Teixeira
2012 Brazilian Journalism Research  
ABSTRACT -This article aims to discuss the impact of the characteristics of the Twitter platform on the application of standard journalistic technique (TRAQUINA, 2008) during the creation and production  ...  of news releases as tweets and, at the same time, it seeks to identify their specifications regarding traditional journalistic utterances.  ...  language and its organization.  ... 
doi:10.25200/bjr.v8n1.2012.443 fatcat:63uvmpsvnfb5fb5yjpq7zkadl4
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