{"id":20857,"date":"2017-01-27T10:34:00","date_gmt":"2017-01-27T10:34:00","guid":{"rendered":"https:\/\/www.he-arc.ch\/projets-recherche\/opinion-profile-construction-from-social-media\/"},"modified":"2017-01-27T10:34:00","modified_gmt":"2017-01-27T10:34:00","slug":"opinion-profile-construction-from-social-media","status":"publish","type":"he-arc_project","link":"https:\/\/www.he-arc.ch\/en\/projets-recherche\/opinion-profile-construction-from-social-media\/","title":{"rendered":"Opinion Profile Construction from Social Media"},"content":{"rendered":"
This project works towards a joint perspective on how users of social media convey meanings to their peers. An algorithm for sentiment analysis that is enriched by qualitative semantic analyses is proposed. Our primary source of data is the Yelp\u2019s Academic Dataset, a collection of restaurant reviews in the online city guide Yelp.<\/p>\n
Our goal is to analyze restaurant reviews in terms of semantic frames in order to provide an opinion profile that reflects customer satisfaction along several dimensions. We thus conduct fine-grained sentiment analysis that is sensitive to different product features that are expressed by customers.<\/p>\n
University of Neuch\u00e2tel<\/a><\/p>\n