Sentimental causal rule discovery from Twitter
作者：
Highlights：
• A new information extraction concept is proposed, entitled sentimental causal rules.
• Causal rules were used to infer more concise summary of the subject case study.
• Results prove the efficiency of sentimental causal rules on information extraction.
• The proposed method is applied on a collection of subject related tweets.
• We investigated the Kurdish political issues in Turkey as the case study.
摘要
•A new information extraction concept is proposed, entitled sentimental causal rules.•Causal rules were used to infer more concise summary of the subject case study.•Results prove the efficiency of sentimental causal rules on information extraction.•The proposed method is applied on a collection of subject related tweets.•We investigated the Kurdish political issues in Turkey as the case study.
论文关键词：Sentiment analysis,Data mining,Machine learning,Causal rules,Sentimental causal rules,Twitter
论文评审过程：Available online 21 February 2014.
论文官网地址：https://doi.org/10.1016/j.eswa.2014.02.024
