Entity summarization of reviews and micro-reviews

• Main Author: NGUYEN, Thanh Son
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2018
• Subjects: Text mining; Reviews mining; Entity ranking; Text summarization; Micro-reviews summarization; Entity summarization; Databases and Information Systems; Mining Engineering
• Online Access: https://ink.library.smu.edu.sg/etd_coll/180; https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=1180&context=etd_coll
• Institution: Singapore Management University

Along with the regular review content, there is a new type of user-generated content arising from the prevalence of mobile devices and social media, that is micro-review. Micro-reviews are bite-size reviews (usually under 200 char- acters), commonly posted on social media or check-in services, using a mobile device. They capture the immediate reaction of users, and they are rich in information, concise, and to the point. Both reviews and micro-reviews are useful for users to get to know the entity of interest, thus facilitating users in making their decision of purchasing or dining. However, the abundant number of both reviews and micro-reviews makes it increasingly difficult to go through them and extract the useful information. In this dissertation, we propose to summarize reviews and micro-reviews to ease users in understanding entity (or a set of entities).