Opinions Sandbox: Turning Emotions on Topics into Actionable Analytics

Document Type

Conference Proceeding

Source of Publication

Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST

Publication Date

1-1-2018

Abstract

© 2018, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. The Opinions Sandbox is a running prototype that accesses comments collected from customers of a particular product or service, and calculates the overall sentiment toward that product or service. It performs topic extraction, displays the comments partitioned into topics, and presents a sentiment for each topic. This helps to quickly digest customers’ opinions, particularly negative ones, and sort them by the concerns expressed by the customers. These topics are now considered issues to be addressed. The Opinions Sandbox does two things with this list of issues. First, it simulates the social network of the future, after rectifying each issue. Comments with positive sentiment regarding this rectified issues are synthesized, they are injected into the comment corpus, and the effect on overall sentiment is produced. Second, it helps the user create a plan for addressing the issues identified in the comments. It uses the quantitative improvement of sentiment, calculated by the simulation in the first part, and it uses user-supplied cost estimates of the effort required to rectify each issue. Sets of possible actions are enumerated and analysed showing both the costs and the benefits. By balancing these benefits against these costs, it recommends actions that optimize the cost/benefit tradeoff.

ISBN

9783319678368

ISSN

1867-8211

Publisher

Springer Verlag

Volume

206

First Page

110

Last Page

119

Disciplines

Computer Sciences

Keywords

Actionable analytics, Opinion extraction, Social commerce, Topic extraction

Scopus ID

85032366433

Indexed in Scopus

yes

Open Access

no

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