19,461 research outputs found
Computational Sociolinguistics: A Survey
Language is a social phenomenon and variation is inherent to its social
nature. Recently, there has been a surge of interest within the computational
linguistics (CL) community in the social dimension of language. In this article
we present a survey of the emerging field of "Computational Sociolinguistics"
that reflects this increased interest. We aim to provide a comprehensive
overview of CL research on sociolinguistic themes, featuring topics such as the
relation between language and social identity, language use in social
interaction and multilingual communication. Moreover, we demonstrate the
potential for synergy between the research communities involved, by showing how
the large-scale data-driven methods that are widely used in CL can complement
existing sociolinguistic studies, and how sociolinguistics can inform and
challenge the methods and assumptions employed in CL studies. We hope to convey
the possible benefits of a closer collaboration between the two communities and
conclude with a discussion of open challenges.Comment: To appear in Computational Linguistics. Accepted for publication:
18th February, 201
Big data analytics:Computational intelligence techniques and application areas
Big Data has significant impact in developing functional smart cities and supporting modern societies. In this paper, we investigate the importance of Big Data in modern life and economy, and discuss challenges arising from Big Data utilization. Different computational intelligence techniques have been considered as tools for Big Data analytics. We also explore the powerful combination of Big Data and Computational Intelligence (CI) and identify a number of areas, where novel applications in real world smart city problems can be developed by utilizing these powerful tools and techniques. We present a case study for intelligent transportation in the context of a smart city, and a novel data modelling methodology based on a biologically inspired universal generative modelling approach called Hierarchical Spatial-Temporal State Machine (HSTSM). We further discuss various implications of policy, protection, valuation and commercialization related to Big Data, its applications and deployment
Indonesia embraces the Data Science
The information era is the time when information is not only largely
generated, but also vastly processed in order to extract and generated more
information. The complex nature of modern living is represented by the various
kind of data. Data can be in the forms of signals, images, texts, or manifolds
resembling the horizon of observation. The task of the emerging data sciences
are to extract information from the data, for people gain new insights of the
complex world. The insights may came from the new way of the data
representation, be it a visualizations, mapping, or other. The insights may
also come from the implementation of mathematical analysis and or computational
processing giving new insights of what the states of the nature represented by
the data. Both ways implement the methodologies reducing the dimensionality of
the data. The relations between the two functions, representation and analysis
are the heart of how information in data is transformed mathematically and
computationally into new information. The paper discusses some practices, along
with various data coming from the social life in Indonesia to gain new insights
about Indonesia in the emerging data sciences. The data sciences in Indonesia
has made Indonesian Data Cartograms, Indonesian Celebrity Sentiment Mapping,
Ethno-Clustering Maps, social media community detection, and a lot more to
come, become possible. All of these are depicted as the exemplifications on how
Data Science has become integral part of the technology bringing data closer to
people.Comment: Paper presented in South East Asian Mathematical Society (SEAMS) 7th
Conference, 10 pages, 7 figure
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