Research on Sentiment Analysis: The First Decade

Oskar Ahlgren

doi:10.1109/ICDMW.2016.0131

Research on Sentiment Analysis: The First Decade

Oskar Ahlgren^*

^*Corresponding author for this work

Department of Information and Service Management

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

Abstract

The first publications on sentiment analysis and opinion mining were published roughly a decade ago. Now it is time to lookback on the achievements so far. This paper presents statistics on the evolution of sentiment analysis. What kind of topics have beendiscussed? How has their popularity changed over time? Who have been the leading researchers? Answers to these questions areprovided by statistical analysis on keywords and by applying Latent Dirichlet Allocation to the titles and abstracts of the publications. The aim of this paper is to provide background information on the big picture of semantic analysis and its development over time.

Original language	English
Title of host publication	Proceedings - 16th IEEE International Conference on Data Mining Workshops, ICDMW 2016
Pages	890-899
Number of pages	10
ISBN (Electronic)	9781509054725
DOIs	https://doi.org/10.1109/ICDMW.2016.0131
Publication status	Published - 30 Jan 2017
MoE publication type	A4 Article in a conference publication
Event	IEEE International Conference on Data Mining Workshops - Barcelona, Spain Duration: 12 Dec 2016 → 15 Dec 2016

Conference

Conference	IEEE International Conference on Data Mining Workshops
Abbreviated title	ICDMW
Country	Spain
City	Barcelona
Period	12/12/2016 → 15/12/2016

Keywords

Latent Dirichlet Allocation
Literature Study
Sentiment Analysis

Access to Document

10.1109/ICDMW.2016.0131

Link to publication in Scopus

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