51052 |
Creator |
8eb9378b0e3dcd225dfc47fcdc9b35f4 |
51052 |
Creator |
ext-23d788b2286efb6e5b9bd0492605b420 |
51052 |
Creator |
ext-b39bfbf15d6f90c52872593f63115080 |
51052 |
Date |
2017-06-21 |
51052 |
Is Part Of |
p03029743 |
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Is Part Of |
repository |
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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. |
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authorList |
authors |
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presentedAt |
ext-7a68a52fc5f47feb7d6519acf0d6cc9b |
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status |
peerReviewed |
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uri |
http://data.open.ac.uk/oro/document/633685 |
51052 |
uri |
http://data.open.ac.uk/oro/document/633686 |
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uri |
http://data.open.ac.uk/oro/document/633687 |
51052 |
uri |
http://data.open.ac.uk/oro/document/633688 |
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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 |
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volume |
10260 LNCS |
51052 |
type |
AcademicArticle |
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type |
Article |
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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 |