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A Framework for Real-Time Semantic Social Media Analysis

19 Pages Posted: 22 Jun 2018 First Look: Accepted

See all articles by Diana Maynard

Diana Maynard

University of Sheffield - Department of Computer Science

Ian Roberts

University of Sheffield - Department of Computer Science

Mark A. Greenwood

University of Sheffield - Department of Computer Science

Dominic Rout

University of Sheffield - Department of Computer Science

Kalina Bontcheva

University of Sheffield - Department of Computer Science

Abstract

This paper presents a framework for collecting and analysing large volume social media content. The real-time analytics framework comprises semantic annotation, Linked Open Data, semantic search, and dynamic result aggregation components. In addition, exploratory search and sense-making are supported through information visualisation interfaces, such as co-occurrence matrices, term clouds, treemaps, and choropleths. There is also an interactive semantic search interface (Prospector), where users can save, refine, and analyse the results of semantic search queries over time. Practical use of the framework is exemplified through three case studies: a general scenario analysing tweets from UK politicians and the public’s response to them in the run up to the 2015 UK general election, an investigation of attitudes towards climate change expressed by these politicians and the public, via their engagement with environmental topics, and an analysis of public tweets leading up to the UK’s referendum on leaving the EU (Brexit) in 2016. The paper also presents a brief evaluation and discussion of some of the key text analysis components, which are specifically adapted to the domain and task, and demonstrate scalability and efficiency of our toolkit in the case studies.

Keywords: Natural Language Processing, semantic search, social media analysis, Linked Open Data, semantic annotation, sentiment analysis

Suggested Citation

Maynard, Diana and Roberts, Ian and Greenwood, Mark A. and Rout, Dominic and Bontcheva, Kalina, A Framework for Real-Time Semantic Social Media Analysis (2017). Journal of Web Semantics First Look. Available at SSRN: https://ssrn.com/abstract=3199300 or http://dx.doi.org/10.2139/ssrn.3199300

Diana Maynard (Contact Author)

University of Sheffield - Department of Computer Science ( email )

Regent Court, 211 Portobello
Sheffield
United Kingdom

Ian Roberts

University of Sheffield - Department of Computer Science

Regent Court, 211 Portobello
Sheffield
United Kingdom

Mark A. Greenwood

University of Sheffield - Department of Computer Science

Regent Court, 211 Portobello
Sheffield
United Kingdom

Dominic Rout

University of Sheffield - Department of Computer Science

Regent Court, 211 Portobello
Sheffield
United Kingdom

Kalina Bontcheva

University of Sheffield - Department of Computer Science ( email )

Regent Court, 211 Portobello
Sheffield
United Kingdom