Opinion mining from online hotel reviews – A text summarization approach

作者：

Highlights：

• Text summarization technique can extract essential information from online reviews.

• Our method can identify top-k most informative sentences from online hotel reviews.

• We jointly considered author, review time, usefulness, and opinion factors.

• Online hotel reviews were collected from TripAdvisor in experimental evaluation.

• The results show that our approach provides more comprehensive hotel information.

摘要

•Text summarization technique can extract essential information from online reviews.•Our method can identify top-k most informative sentences from online hotel reviews.•We jointly considered author, review time, usefulness, and opinion factors.•Online hotel reviews were collected from TripAdvisor in experimental evaluation.•The results show that our approach provides more comprehensive hotel information.

论文关键词：Online hotel review,Multi-text summarization,Sentiment analysis,Sentence clustering,k-medoids

论文评审过程：Received 12 January 2016, Revised 22 November 2016, Accepted 2 December 2016, Available online 10 December 2016, Version of Record 10 December 2016.

论文官网地址：https://doi.org/10.1016/j.ipm.2016.12.002