Reprint of: Computational approaches for mining user’s opinions on the Web 2.0
作者：
Highlights：
• We carry out an empirical analysis to determine characteristics of social media channels.
• User generated content is “noisy” and contains mistakes, emoticons, etc.
• We evaluate text preprocessing algorithms regarding user generated content.
• Discussion of improvements to opinion mining process.
摘要
•We carry out an empirical analysis to determine characteristics of social media channels.•User generated content is “noisy” and contains mistakes, emoticons, etc.•We evaluate text preprocessing algorithms regarding user generated content.•Discussion of improvements to opinion mining process.
论文关键词：Opinion mining,Noisy text,Text preprocessing,User generated content,Data mining
论文评审过程：Received 14 August 2013, Revised 14 February 2014, Accepted 24 July 2014, Available online 29 May 2015, Version of Record 6 June 2015.
论文官网地址：https://doi.org/10.1016/j.ipm.2014.07.011
