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Sentiment-Based Ranking of Blog Posts Using Rhetorical Structure Theory [chapter]

Jose M. Chenlo, Alexander Hogenboom, David E. Losada
2013 Lecture Notes in Computer Science  
The main objective of this paper is to explore the usefulness of RST in largescale polarity ranking of blog posts.  ...  Rhetorical Structure Theory (RST) provides important information about the relative importance of the different text spans in a document.  ...  The second author of this paper is supported by the Dutch national program COMMIT.  ... 
doi:10.1007/978-3-642-38824-8_2 fatcat:o4x6hmmr6bdenh3y6sci5svtma

Rhetorical Structure Theory for polarity estimation: An experimental study

José M. Chenlo, Alexander Hogenboom, David E. Losada
2014 Data & Knowledge Engineering  
First, we demonstrate how to perform a large-scale ranking of individual blog posts in terms of their overall polarity, by exploiting the rhetorical structure of a few key evaluative sentences.  ...  In this paper, we investigate the usefulness of Rhetorical Structure Theory in various Sentiment Analysis tasks on different types of information sources.  ...  The second author of this paper is partially supported by the Dutch national program COMMIT.  ... 
doi:10.1016/j.datak.2014.07.009 fatcat:t7ne7psdlbbenapfyjqwn7ntem

Exploiting Rhetorical Relations in Blog Summarization [chapter]

Shamima Mithun
2010 Lecture Notes in Computer Science  
To address these two issues, we have developed a schema-based summarization approach for query-based blog summaries that utilizes discourse structures.  ...  Exploiting Rhetorical Relations in Blog Summarization Shamima Mithun, Ph.D.  ...  Rhetorical Structure Theory (RST) is one of the most widely used discourse theory for computational work (e.g. [SM03, CM01] ).  ... 
doi:10.1007/978-3-642-13059-5_53 fatcat:kltif36lsferjpgasntnna6mbi

Detecting Disagreement in Conversations using Pseudo-Monologic Rhetorical Structure

Kelsey Allen, Giuseppe Carenini, Raymond Ng
2014 Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)  
of unigram/bigram features, discourse markers, structural features and meta-post features.  ...  We then proceed to show that a new set of features determined from the rhetorical structure of the conversation significantly improves the performance on disagreement detection over a baseline consisting  ...  Discourse Trees were formalized by Mann and Thompson (1988) as part of their Rhetorical Structure Theory (RST) to represent the structure of discourse.  ... 
doi:10.3115/v1/d14-1124 dblp:conf/emnlp/AllenCN14 fatcat:kykjwx7j7zhjrijgjs7oo4kvae

Predicating Influential Microblog in Micro-blogging Services

Yi GAO, Ting WANG, Sha-sha LI, Cheng-sen RU, Jin-tao TANG
2017 DEStech Transactions on Computer Science and Engineering  
As the text content has rich features such as word count of a single microblog, the sentiment of the microblog text and so on, we propose a novel model based on Learning to Rank, which integrates both  ...  However, many previous social network analysis schemes rely mainly on link structures between users to find influencers in micro-blogging services, ignoring the important text content created by the users  ...  Acknowledgement The research is supported by the National Natural Science Foundation of China (61472436, 61532001).  ... 
doi:10.12783/dtcse/cst2017/12536 fatcat:fmpbth57djehld7ium6niqif3u

L'utilisation de schémas de discours pour améliorer la pertinence et la cohérence discursive dans le cadre du résumé automatique de blogs

Shamima Mithun, Leila Kosseim
2012 Document Numérique  
To address these two issues, we propose a domain-independent query-based summarization approach for opinionated documents that uses intra-sentential discourse structures in the framework of schemata.  ...  Finally post-schema heuristics that work at the inter-sentence level are used to improve coherence further.  ...  Opinion (sentiment) information is typically used to rank blog sentences for summarization, but this task can possibly add more noise to the blog sentence ranking process if not done properly.  ... 
doi:10.3166/dn.15.2.91-120 fatcat:7yz3p7hwgnbdnek27kjchg6suy

Statement map

Koji Murakami, Eric Nichols, Suguru Matsuyoshi, Asuka Sumida, Shouko Masuda, Kentaro Inui, Yuji Matumoto
2009 Proceedings of the 3rd workshop on Information credibility on the web - WICOW '09  
In this paper we introduce Statement Map, a project designed to help users navigate the vast amounts of information on the internet and come to informed opinions on topics of interest.  ...  In this paper, we discuss the need to address issues of information credibility on the internet, outline the development of Statement Map generators for Japanese and English, discuss the technical issues  ...  Finally, we would like to thank all of the bloggers, especially Ben Goldacre of for the data.  ... 
doi:10.1145/1526993.1527004 dblp:conf/www/MurakamiNMSMIM09 fatcat:2fq3gcbw4rb3ffewzudjeb5dfa

Opinion Mining Summarization and Automation Process: A Survey

Sundas Naqeeb Khan, Nazri Mohd Nawi, Mahmud Imrona, Asim Shahzad, Arif Ullah, Atta-ur- Rahman
2018 International Journal on Advanced Science, Engineering and Information Technology  
For this purpose, users tend to exploit websites and provide their remarks or views on any product, service, event, etc. based on their experience that might be useful for other users.  ...  Therefore, researchers try to present information in the form of a summary that would be useful for different users.  ...  7 7 The automatic extractive process by using graphical methods Fig. 8 8 Rhetorical Structure Theory in discourse method Fig. 9 9 Approaches used for the extractive process based on machine learning  ... 
doi:10.18517/ijaseit.8.5.5002 fatcat:var2fejhxjgh5dpueqgkfv775a

Query-based opinion summarization for legal blog entries

Jack G. Conrad, Jochen L. Leidner, Frank Schilder, Ravi Kondadadi
2009 Proceedings of the 12th International Conference on Artificial Intelligence and Law - ICAIL '09  
This work is based on processing a set of legal questions with a system consisting of a semi-automatic Web blog search module and FastSum, a fully automatic extractive multi-document sentiment summarization  ...  We provide quantitative evaluation results of the summaries using legal expert reviewers.  ...  And lastly, we thank our anonymous reviewers, who helped us improve the quality of this paper.  ... 
doi:10.1145/1568234.1568253 dblp:conf/icail/ConradLSK09 fatcat:imnarbauozbixgd32zzlly7m5m

Dimensions of Argumentation in Social Media [chapter]

Jodi Schneider, Brian Davis, Adam Wyner
2012 Lecture Notes in Computer Science  
These aspects can confound the extraction of well-formed knowledge bases of argument. We chart out the various aspects in order to isolate them for further analysis and processing.  ...  Messages appear to lack indicators for argument, document structure, or inter-document relationships.  ...  Metadata associated with a post (such as poster, timestamp, and subject line for listservs) and additional structure (such as pingbacks and links for blogs) can also be used for argumentation.  ... 
doi:10.1007/978-3-642-33876-2_4 fatcat:agu3w6xh4rbcxgpdbgveghrtmm

Deception Detection in News Reports in the Russian Language: Lexics and Discourse

Dina Pisarevskaya
2017 Proceedings of the 2017 EMNLP Workshop: Natural Language Processing meets Journalism  
Different language markers can be used to reveal the differences between structures of truthful and deceptive (fake) news.  ...  Two experiments are held: the first one is based on lexics level markers, the second one on discourse level is based on rhetorical relations categories (frequencies).  ...  Rhetorical Structure Theory: Toward a Functional Theory of Text Organization, Text, vol. 8, no.3: 243-281.  ... 
doi:10.18653/v1/w17-4213 dblp:conf/emnlp/Pisarevskaya17 fatcat:rmz7ftrlxrfprcpgfaovqocwfa

An empirical study of sentence features for subjectivity and polarity classification

Jose M. Chenlo, David E. Losada
2014 Information Sciences  
importance of each set of features using data from multiple benchmarks.  ...  While a number of isolated studies have analysed how different sentence features are beneficial in Sentiment Analysis, a complete picture of their effectiveness is still lacking.  ...  We thank David Elsweiler and Alvaro Barreiro for their useful comments and suggestions.  ... 
doi:10.1016/j.ins.2014.05.009 fatcat:j3h7tzdqhzcftlyrmbrsuiky4m

Modeling and Data Mining in Blogosphere

Nitin Agarwal, Huan Liu
2009 Synthesis Lectures on Data Mining and Knowledge Discovery  
We elaborate on approaches that extract communities and cluster blogs based on information of the bloggers.  ...  These comments become an integral part of the blog post. Some comments may trigger more comments or a completely new blog post.  ...  Cerra for helping us throughout this project. The work is part of the projects sponsored by grants from AFOSR and ONR.  ... 
doi:10.2200/s00213ed1v01y200907dmk001 fatcat:ifz4ic57sfcwbltrboans35zzm

A virtual death and a real dilemma: Identity, trust, and community in cyberspace

John W. Jordan
2005 The Southern Communication Journal  
You can call it rank sentimentality if you like, but it shows that people have a capacity to sympathize and to care. That should be a vital part of our lives" (tranquileye, Metafilter).  ...  ., using her identifiable screen name) following her posted confession, although she may have made contact and/or posted using an alternate screen name.  ... 
doi:10.1080/10417940509373327 fatcat:46w5zehm3fgz7lpqu3v5gmteca

Partitioning and Scaling Signed Bipartite Graphs for Polarized Political Blogosphere

Sedat Gokalp, Mhamed Temkit, Hasan Davulcu, I. Hakki Toroslu
2013 2013 International Conference on Social Computing  
In this paper, given a mixed set of blogs debating a set of political issues from opposing camps, we use signed bipartite graphs for modeling debates, and we propose an algorithm for partitioning both  ...  Using this scale, a researcher can identify moderate and extreme blogs within each camp, and polarizing vs. unifying issues.  ...  This research was supported in part by US DOD Minerva Research Initiative grant N00014-09-1-0815.  ... 
doi:10.1109/socialcom.2013.32 dblp:conf/socialcom/GokalpTDT13 fatcat:ftqvfklj7bhcpps5xno52t5kcq
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