Aspects of Discourse Stream Analysis

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Abstract

The huge proliferation of textual (and other data) in digital and organisational sources has led to new techniques of text analysis. The potential thereby unleashed may be underpinned by further theoretical developments to the theory of Discourse Stream Analysis (DSA) as presented here. These include the notion of change in the discourse stream in terms of discourse stream fronts, linguistic elements evolving in real time, and notions of time itself in terms of relative speed, subject orientation and perception. Big data has also given rise to fake news, the manipulation of messages on a large scale. Fake news is conveyed in fake discourse streams and has led to a new field of description and analysis.

Authors

1-Mark Perkins
CEO (Chief Executive Office), Repindex Ltd, Cambridge, UK.

Keywords

Big textual data, discourse, tense and time, sentiment, fake news

DOI Number

10.31703/glr.2019(IV-II).01


Page Nos

1-6

Volume & Issue

IV - II

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Published: Dec 2019

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