The use of MMR, diversity-based reranking for reordering documents and producing summaries
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Conversations in the Blogosphere: An Analysis "From the Bottom Up"
HICSS '05 Proceedings of the Proceedings of the 38th Annual Hawaii International Conference on System Sciences (HICSS'05) - Track 4 - Volume 04
Less is more: probabilistic models for retrieving fewer relevant documents
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Incorporating non-local information into information extraction systems by Gibbs sampling
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
Comments-oriented document summarization: understanding documents with readers' feedback
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Novelty and diversity in information retrieval evaluation
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Proceedings of the Second ACM International Conference on Web Search and Data Mining
An axiomatic approach for result diversification
Proceedings of the 18th international conference on World wide web
Efficient Computation of Diverse Query Results
ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
Measuring the descriptiveness of web comments
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Predicting the volume of comments on online news stories
Proceedings of the 18th ACM conference on Information and knowledge management
Presenting diverse political opinions: how and how much
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
ACM SIGMOD Record
User comments for news recommendation in forum-based social media
Information Sciences: an International Journal
Sentiment in short strength detection informal text
Journal of the American Society for Information Science and Technology
Proceedings of the ACM 2011 conference on Computer supported cooperative work
Towards quality discourse in online news comments
Proceedings of the ACM 2011 conference on Computer supported cooperative work
The diversity donut: enabling participant control over the diversity of recommended responses
CHI '11 Extended Abstracts on Human Factors in Computing Systems
News comments: exploring, modeling, and online prediction
ECIR'2010 Proceedings of the 32nd European conference on Advances in Information Retrieval
Care to comment?: recommendations for commenting on news stories
Proceedings of the 21st international conference on World Wide Web
Approximation algorithms for maximum dispersion
Operations Research Letters
Towards emotional awareness in software development teams
Proceedings of the 2013 9th Joint Meeting on Foundations of Software Engineering
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In this paper we present an approach for diversifying user comments on news articles. In our proposed framework, we analyse user comments w.r.t. four different criteria in order to extract the respective diversification dimensions in the form of feature vectors. These criteria involve content similarity, sentiment expressed within comments, article's named entities also found within comments and commenting behavior of the respective users. Then, we apply diversification on comments, utilizing the extracted features vectors. The outcome of this process is a subset of the initial comments that contains heterogeneous comments, representing different aspects of the news article, different sentiments expressed, as well as different user categories, w.r.t. their commenting behavior. We perform a preliminary qualitative analysis showing that the diversity criteria we introduce result in distinctively diverse subsets of comments, as opposed to a baseline of diversifying comments only w.r.t. to their content (textual similarity). We also present a prototype system that implements our diversification framework on news articles comments.