Perspectives on Sentiment Analysis
A range of emerging perspectives on sentiment analysis are mapped out and it is argued that these sometimes-competing views need to be brought together, so that analyses of new socio-technical phenomena like sentiment analysis can be rich and rounded.
Abstract
One of the consequences of the widespread use of social media is the equally widespread availability of all sorts of once intimate and private stuff: textual, visual, and affective. From this, a new form of labor arises: the mining of social media data. One type of social media data mining is sentiment analysis, the application of a range of technologies to determine sentiments expressed within social media about particular topics. This article maps out a range of emerging perspectives on sentiment analysis and argues that these sometimes-competing views need to be brought together, so that analyses of new socio-technical phenomena like sentiment analysis can be rich and rounded.