Computer Analysis of Texts in Social Networks, Its Method and Tools: State-of-the-Art Review

Computer Analysis of Texts in Social Networks, Its Method and Tools: State-of-the-Art Review

Pavel P. Makagonov (The Russian Presidential Academy of National Economy and Public Administration, Russia) and Alexander Troussov (The Russian Presidential Academy of National Economy and Public Administration, Russia)
DOI: 10.4018/978-1-5225-5586-5.ch001

Abstract

Texts in virtual social networks differ cardinally from those of reviewed and edited publications, as being in fact the materials of non-moderated chat dialog having all the syntactic features, and in many cases, they are hypertexts with, as analysis subjects, quite relative boundaries. Instead of texts the virtual discourse, an object of new type is analyzed. In these conditions, the linguistic analysis is transformed into preliminary linguistic processing the texts and analysis of texts into the analysis of networks participants' interactions. Weak sides of linguistic processing both primary and pervasive are shown concerning the texts in social networks. Many problems appear when analyzing the texts as non-structured big data. A changing of used linguistic tools is linked with the reorientation onto new research customers: companies seeing the business interest in that, state structures, and even onto criminal structures using result of analysis for composing the texts aimed for manipulation of the consciousness.
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General Contemporary Approach To Social Networks Analysis

The development of social networks is viewed by many representatives of the scientific community as a totally new phenomenon manifesting itself in culture, public life, sociology, and linguistics (e. g. “Internet Communication as New Speech Formation”). New research tasks are being solved with the methods relying on the study of graphs and networks, while tools employed in linguistics, in many cases, are used as auxiliary, interim stages in the general analysis of social networks. In the paper “Methods of Analyses of The Computer Social Networks,” Batura (2012) defines the major directions in this area of research: structural, resource, normative and dynamic (with the key tools for analyzing the social networks being graph and stochastic models, models of network evolution, methods involving ontologies, structural and relational models, machine learning, graph visualization techniques, etc.). The feasible paths for further research are identified as the creation of a synthetic theory of social networks and a greater adaptation of language text processing to the network content.

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