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

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Author(s): 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)
Copyright: 2019
Pages: 28
Source title: Techno-Social Systems for Modern Economical and Governmental Infrastructures
Source Author(s)/Editor(s): Alexander Troussov (The Russian Presidential Academy of National Economy and Public Administration, Russia)and Sergey Maruev (The Russian Presidential Academy of National Economy and Public Administration, Russia)
DOI: 10.4018/978-1-5225-5586-5.ch001

Keywords: Business & Management / Business Information Systems / Business Science Reference / Economics & Economic Theory

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

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