Towards computational discourse analysis: A methodology for mining Twitter backchanneling conversations
作者：
Highlights：
• A Methodology to analyze Twitter backchanneling streams is presented.
• Conversational patterns are identified an visualized from microblog streams.
• Data related to users' reaction to the launch of a new product are presented.
• The methodology is able to effectively to summarize the content generated by users.
• Implications for studying knowledge sharing and learning in networks are outlined.
摘要
•A Methodology to analyze Twitter backchanneling streams is presented.•Conversational patterns are identified an visualized from microblog streams.•Data related to users' reaction to the launch of a new product are presented.•The methodology is able to effectively to summarize the content generated by users.•Implications for studying knowledge sharing and learning in networks are outlined.
论文关键词：Online discourse analysis,Conversational analysis,Social media mining,Social representations,Big data,Online communities,Online conversation,Computer-mediated communication,Collective intelligence,Semantic analysis,Sentiment analysis,New product launch
论文评审过程：Received 19 March 2016, Revised 3 July 2016, Accepted 22 July 2016, Available online 8 August 2016, Version of Record 8 August 2016.
论文官网地址：https://doi.org/10.1016/j.chb.2016.07.030
