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