subject predicate object context
51052 Creator 8eb9378b0e3dcd225dfc47fcdc9b35f4
51052 Creator ext-23d788b2286efb6e5b9bd0492605b420
51052 Creator ext-b39bfbf15d6f90c52872593f63115080
51052 Date 2017-06-21
51052 Is Part Of p03029743
51052 Is Part Of repository
51052 abstract In this paper, we propose a simple yet effective approach for automatically labelling sentiment-bearing topics with descriptive sentence labels. Specifically, our approach consists of two components: (i) a mechanism which can automatically learn the relevance to sentiment-bearing topics of the underlying sentences in a corpus; and (ii) a sentence ranking algorithm for label selection that jointly considers topic-sentence relevance as well as aspect and sentiment co-coverage. To our knowledge, we are the first to study the problem of labelling sentiment-bearing topics. Our experimental results show that our approach outperforms four strong baselines and demonstrates the effectiveness of our sentence labels in facilitating topic understanding and interpretation.
51052 authorList authors
51052 presentedAt ext-7a68a52fc5f47feb7d6519acf0d6cc9b
51052 status peerReviewed
51052 uri http://data.open.ac.uk/oro/document/633685
51052 uri http://data.open.ac.uk/oro/document/633686
51052 uri http://data.open.ac.uk/oro/document/633687
51052 uri http://data.open.ac.uk/oro/document/633688
51052 uri http://data.open.ac.uk/oro/document/633689
51052 uri http://data.open.ac.uk/oro/document/633690
51052 uri http://data.open.ac.uk/oro/document/661389
51052 volume 10260 LNCS
51052 type AcademicArticle
51052 type Article
51052 label Barawi, Mohamad Hardyman; Lin, Chenghua and Siddharthan, Advaith (2017). Automatically Labelling Sentiment-Bearing Topics with Descriptive Sentence Labels. In: The 22nd International Conference on Natural Language & Information Systems (NLDB), Springer, Belgium, pp. 299–312.
51052 label Barawi, Mohamad Hardyman; Lin, Chenghua and Siddharthan, Advaith (2017). Automatically Labelling Sentiment-Bearing Topics with Descriptive Sentence Labels. In: The 22nd International Conference on Natural Language & Information Systems (NLDB), Springer, Belgium, pp. 299–312.
51052 Publisher ext-1c5ddec173ca8cdfba8b274309638579
51052 Title Automatically Labelling Sentiment-Bearing Topics with Descriptive Sentence Labels
51052 in dataset oro