Publication details for Professor Alexandra CristeaZhou, Yiwei & Cristea, A. I. (2016), Towards detection of influential sentences affecting reputation in Wikipedia, in Nejdl, Wolfgang eds, ACM Web Science Conference 2016. Hannover, ACM, New York, 244-248.
- Publication type: Conference Paper
- ISSN/ISBN: 9781450342087
- DOI: 10.1145/2908131.2908177
- Further publication details on publisher web site
- Durham Research Online (DRO) - may include full text
- View in another repository - may include full text
Author(s) from Durham
Wikipedia has become the most frequently viewed online encyclopaedia website. Some sentences in Wikipedia articles have direct and obvious impact on people's opinions towards the mentioned named entities. This paper defines and tackles the problem of reputation-influential sentence detection in Wikipedia articles from various domains. We leverage multiple lexicons, to generate domain independent features. We generate topical features and word embedding features from unlabelled dataset, to boost the classification performance. We conduct several experiments, to prove the effectiveness of these features. We further adapt a two-step binary classification method, to perform multi-classification. Our evaluation results show that this method outperforms the state-of-the-art one-vs-one multi-classification method for this problem.