Eija Suomela-Salmi SOCIAL MEDIA AND LANGUAGE LEARNING AT THE INTERSECTION OF FORMAL AND INFORMAL LEARNING In my talk I will firstly rapidly summarize the arguments in favor of using Web 2.0 based tools in teaching in gen

Source URL: konferencje.frse.org.pl

Michael Carrier DIGITAL LEARNING AND SOCIAL MEDIA IN LANGUAGE EDUCATION We believe people learn best through personal interaction with highly trained teachers. But when class time is at a premium, or teachers under-resou

Source URL: konferencje.frse.org.pl

Rob Lewis TIMES OF CHANGE FOR TEACHERS There’s no doubt the language learning environment is changing rapidly, driven by developments in ICT and social media. A classroom with an interactive whiteboard, and students us

Source URL: konferencje.frse.org.pl

Learning Evolving and Emerging Topics in Social Media: A Dynamic NMF approach with Temporal Regularization Ankan Saha∗ Vikas Sindhwani

Source URL: people.cs.uchicago.edu

• Statistical natural language processing
• Linear algebra
• Matrix theory
• Multivariate statistics
• Numerical linear algebra
• Non-negative matrix factorization
• Online NMF
• Topic model
• Dynamic topic model
• Algebra
• Mathematics
• Statistics

Interpreting Arts Audiences and Cultural Preference Through Twitter Data Shauna Concannon and Matthew Purver Queen Mary University of London Abstract. In this study we work with a multi-arts organ

Source URL: www.eecs.qmul.ac.uk

• Science
• Computational linguistics
• Social media
• Statistical classification
• Text messaging
• Twitter
• Topic model
• Latent Dirichlet allocation
• Unsupervised learning
• Statistics
• Statistical natural language processing
• Machine learning

NAME OF POLICY: Social Media Usage Policy RATIONALE This policy governs the publication of and commentary on social media by employees of North Melbourne Language & Learning ("NMLL"). For the purposes of this policy, so

Source URL: www.nmll.org.au

• Internet
• Internet culture
• Web 2.0
• Sociology
• Internet privacy
• Blog
• Privacy
• Facebook
• Defamation
• Ethics
• Social information processing
• Computing

Learning Similarity Metrics for Event Identification in Social Media Hila Becker Mor Naaman

Source URL: www.wsdm-conference.org

• Multivariate statistics
• Natural language processing
• Cluster analysis
• Geostatistics
• Hierarchical clustering
• K-means clustering
• BIRCH
• Document clustering
• Information retrieval
• Statistics
• Data mining
• Machine learning

Language Technology for Agile Social Media Science Simon Wibberley Jeremy Reffin David Weir Department of Informatics Department of Informatics

Source URL: aclweb.org

• Real-time web
• Social media
• Text messaging
• Twitter
• Technology
• Statistical classification
• Classifier
• Link analysis
• Computational statistics
• Machine learning
• Parts of speech
• World Wide Web

TESOL as a Global Trade – Ethics, Equity and Ecology 3rd to 5th July 2012 Cairns, Queensland The social presence of EFL students interacting with their

Source URL: www.tesol.org.au

• Media technology
• Social presence theory
• Virtual reality
• E-learning
• Blended learning
• Language education
• Education
• Pedagogy
• Distance education

Hierarchical Bayesian Models for Latent Attribute Detection in Social Media Delip Raoa Michael Paula Clay Finkb David Yarowskya Timothy Oatesc,a Glen Coppersmitha a Human Language Technology Center of Excellence, Johns H

Source URL: www.cs.jhu.edu

• Machine learning
• Model selection
• Cluster analysis
• Mixture model
• Prior probability
• Latent Dirichlet allocation
• Hierarchical Bayes model
• Gibbs sampling
• Cross-validation
• Statistics
• Probability
• Bayesian statistics