Mining authoritative and topical evidence from the blogosphere for improving opinion retrieval
作者：
Highlights：
• We mine and utilize authoritative and topical evidence for improving the retrieval performance of opinionated blog posts.
• We build a profile for each blogger and estimate the probability of topical words extracted from the training queries.
• Further, a novel document-based neural matching mode is proposed to include different sources of information.
• Our proposed approach does not use additional resources to extract opinion terms, which provides a new and promising avenue.
摘要
•We mine and utilize authoritative and topical evidence for improving the retrieval performance of opinionated blog posts.•We build a profile for each blogger and estimate the probability of topical words extracted from the training queries.•Further, a novel document-based neural matching mode is proposed to include different sources of information.•Our proposed approach does not use additional resources to extract opinion terms, which provides a new and promising avenue.
论文关键词：Opinion mining,Blog retrieval,Sentiment analysis,Neural matching model
论文评审过程：Received 15 April 2017, Revised 8 February 2018, Accepted 11 February 2018, Available online 22 February 2018, Version of Record 13 September 2018.
论文官网地址：https://doi.org/10.1016/j.is.2018.02.002
