Why human involvement is still required to move text analytics technologies leveraged with artificial intelligence from the trough of disillusionment to the plateau of productivity

Paul Howarth
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Paul Howarth: CEO, Pansensic, UK

Applied Marketing Analytics: The Peer-Reviewed Journal, 2020, vol. 5, issue 4, 312-323

Abstract: The text analytics market, which has been predicted to be worth US$21.7bn by 2025, is falling headfirst into Gartner’s well-known trough of disillusionment by failing to deliver real organisational value and meet user expectations. The might of marketing has duped clients with hyped promises of illusive actionable insights delivered through fast, sexy interfaces, yet the industry is not delivering the value it promises. This paper explores the reasons behind the failure to deliver this expected value. It will define the terms ‘value’, ‘insight’ and ‘actionable insight’. It will use these definitions to identify where and why industry practice fails to meet these fundamental expectations. A short case study is included to provide an example of how emotion analytics of consumer-generated unstructured text data can help deliver meaningful and genuinely actionable insights.

Keywords: text analytics; emotion analytics; actionable insights; Hybrid Text Analytics; unstructured text; consumer data; AI; NLP; Big Data (search for similar items in EconPapers)
JEL-codes: M3 (search for similar items in EconPapers)
Date: 2020
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