Online reputation measurement of companies based on user-generated content in online social networks

作者：

Highlights：

• N-gram is a language-independent method which means is can be applied for text classification in all languages.

• It works efficiently in spite of high misspelling probability which is common in social media.

• The proposed method does not need text preprocessing including removal of the empty characters, etc.

• The proposed method is more efficient than other similar algorithms in terms of different standard criteria.

摘要

•N-gram is a language-independent method which means is can be applied for text classification in all languages.•It works efficiently in spite of high misspelling probability which is common in social media.•The proposed method does not need text preprocessing including removal of the empty characters, etc.•The proposed method is more efficient than other similar algorithms in terms of different standard criteria.

论文关键词：Twitter,Reputation management,Sentiment analysis,N-Gram classification

论文评审过程：Received 4 February 2015, Revised 17 July 2015, Accepted 30 July 2015, Available online 11 August 2015, Version of Record 11 August 2015.

论文官网地址：https://doi.org/10.1016/j.chb.2015.07.061