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Discourse structure and attitudinal valence of opinion words in sentiment extraction

Radoslava Trnavac, Maite Taboada
2014 LSA Annual Meeting Extended Abstracts  
Based on our analysis of the affective content expressed by automatically extracted discourse relations from the Simon Fraser University Corpus (Taboada 2008) and the Penn Discourse Treebank (Prasad et  ...  al. 2008), we propose to classify all the discourse relations into four categories: (1) relations that reverse polarity, (2) intensify polarity, (3) downtone polarity, or (4) produce no change in polarity  ...  Senses with the Arg1-Arg2 structure and polarity of evaluation (PDTB) ANALYSIS OF CORPORA AND RESULTS.  ... 
doi:10.3765/exabs.v0i0.2391 fatcat:t6baz2eiezaubmhllhfhz2jq6y

Discourse relations and evaluation

Radoslava Trnavac, Debopam Das, Maite Taboada
2016 Corpora  
(positive, negative or neutral), RST structure (both nucleus-satellite status and relation type) and change of polarity as a result of being part of a discourse relation (Intensify, Downtone, Reversal  ...  Through a combination of Rhetorical Structure Theory or RST (Mann & Thompson, 1988) and Appraisal Theory (Martin & White, 2005) , we analyze how different discourse relations modify the evaluative content  ...  Acknowledgements This research was funded by the Social Sciences and Humanities Research Council of Canada. We thank Mara Katz for her help with the annotation.  ... 
doi:10.3366/cor.2016.0091 fatcat:fjdnjdzlqnedficbgydhoyckj4

Positive Self-Presentation and Negative Other-Presentation in Farsi Translation of Hard Choices

Roghayeh Adlpour, Razieh Eslamieh
2018 International Journal of English Language and Translation Studies  
analysis of Amir Ghaderi's Farsi translation of Hillary Clinton's Hard Choices (2014).  ...  To this end, Van Dijk's CDA approach (2004) was used. However, the study has explored only four strategies out of 27 including -hyperbole, euphemism, polarization and vagueness.  ...  model of discourse analysis compared to the others which justifies the use of it in the present study.  ... 
doaj:7c7318ff158248498cea97957979bf0e fatcat:ariyabdx2vh3fkdhtls7kz5p4a

Patterns in the stream

Julian Brooke, Matthew Hurst
2009 Proceeding of the 1st international CIKM workshop on Topic-sentiment analysis for mass opinion - TSA '09  
These patterns are visible in the text and paragraph structure, topic depth, and polarity flow.  ...  A qualitative examination of review texts suggests that there are consistent patterns to how topic and polarity are expressed in discourse.  ...  ACKNOWLEDGEMENTS We would like to thank Michael Gamon and Maite Taboada for the use of their sentiment classifiers.  ... 
doi:10.1145/1651461.1651463 fatcat:p6tbdexyk5ajhf2xbzwf6b72ha

Modeling Sentiment Association in Discourse for Humor Recognition

Lizhen Liu, Donghai Zhang, Wei Song
2018 Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)  
On the perspective of using sentiment related features, sentiment association in discourse is more useful than counting the number of emotional words.  ...  Humor is one of the most attractive parts in human communication. However, automatically recognizing humor in text is challenging due to the complex characteristics of humor.  ...  Acknowledgements The research work is funded by the National Natural Science Foundation of China (No.61402304), Beijing Municipal Education Commission (KM201610028015, Connotation Development) and Beijing  ... 
doi:10.18653/v1/p18-2093 dblp:conf/acl/LiuZS18 fatcat:74275dt7rrb4npmsfmg4f7w5x4

Sociolinguistic Structure of Artistic Language; with Emphasis on Nader and Simin – A Separation

Venus Qasemireza, Hamidreza Dowlatabadi
2014 Procedia - Social and Behavioral Sciences  
In the present article critical discourse analysis attempted to describe relations between use of language and social problems focus on the film Nader and Simin-a Separation.  ...  What is interesting to notice about this study is that it is the first time to investigate sociolinguistic structure of artistic language in the field of critical discourse analysis in Iran.  ...  Introduction The appearance of discourse and text analysis dates back to 1970s.  ... 
doi:10.1016/j.sbspro.2014.03.562 fatcat:wossmk5uynh4vku7fusapraadu

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  
Our results show that RST provides valuable information about the discourse structure of the texts that can be used to make a more accurate ranking of documents in terms of their estimated sentiment in  ...  The main objective of this paper is to explore the usefulness of RST in largescale polarity ranking of blog posts.  ...  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

Vajon in Translated Hungarian

Andrea Götz
2016 Acta Universitatis Sapientiae: Philologica  
This paper presents an analysis of the structures the discourse marker vajon forms in translated Hungarian fiction.  ...  data of their analysis.  ...  Introduction: translating discourse markers In recent years, the translation of discourse markers, pragmatic markers, or discourse particles -as several terms are used for these forms -has increasingly  ... 
doi:10.1515/ausp-2016-0029 fatcat:jzlq63n22bhrdj6tcaehsmdkm4

An Approach for Computing Sentiment Polarity Analysis of Complex Why-type Questions on Product Review Sites

Amit Mishra, Sanjay Kumar Jain
2014 Research in Computing Science  
We apply Rhetorical structure theory to determine discourse structure of why type questions.  ...  We use such structure to determine sentiment polarity of why type questions and conduct experiments which obtain better results as compared to baseline average scoring methods.  ...  The authors use rhetorical structure theory to determine discourse structure of document to perform document level sentiment analysis which gives promising results.  ... 
doi:10.13053/rcs-84-1-6 fatcat:vpuaghx2ljf4vdrawazbnqhdqe

Corporate funding and ideological polarization about climate change

Justin Farrell
2015 Proceedings of the National Academy of Sciences of the United States of America  
This paper uses comprehensive text and network data to show how corporate funding influences the production and actual thematic content of polarization efforts.  ...  This study presents such an approach, and examines how the production of an alternative discourse is embedded within a particular social structure and how the content itself is influenced by particular  ...  Turning to the results of the computational text analysis, Fig. 2 summarizes the results of the structural topic model.  ... 
doi:10.1073/pnas.1509433112 pmid:26598653 pmcid:PMC4711825 fatcat:fvkqbbdhfraprcmkwkajpnc2fy

Using the Journalistic Metaphor to Design User Interfaces That Explain Sensor Data [chapter]

Martin Molina, Enrique Parodi, Amanda Stent
2011 Lecture Notes in Computer Science  
Furthermore, the journalistic approach of ordering information from most general to most specific helps users obtain a high-level understanding while providing them the freedom to choose the depth of analysis  ...  We describe the general characteristics and architectural requirements for an interactive intelligent user interface for exploring sensor data that uses the journalistic metaphor.  ...  It is structured so that the user can stop at any point with a high-level understanding, or continué to read to get more detailed analysis. • Effective use of graphics to elabórate on the text.  ... 
doi:10.1007/978-3-642-23765-2_43 fatcat:je4re5hwwja5hdkuuqgfizybwy

Page 342 of Linguistics and Language Behavior Abstracts: LLBA Vol. 23, Issue 1 [page]

1989 Linguistics and Language Behavior Abstracts: LLBA  
fiction, point of view; discourse structure, linguistic analysis; V.  ...  membership; nat- ural language analysis; 8901839 negative polarity; logical analysis; polar limits generation; 8901380 proper name; reference conception, S.  ... 

Appraisal of Opinion Expressions in Discourse

2009 Lingvisticæ investigationes  
We propose a new annotation schema for a deep contextual opinion analysis using discourse relations.  ...  We present an analysis of opinion in texts based on a detailed semantic analysis of a wide class of expressions.  ...  In this paper, we propose an analysis of opinion in texts based on a lexical semantic analysis of a wide class of expressions coupled together with an analysis of how clauses involving these expressions  ... 
doi:10.1075/li.32.2.10ash fatcat:xitjimkt5fc2db3vgvtaxjaaiu

Better Document-level Sentiment Analysis from RST Discourse Parsing [article]

Parminder Bhatia and Yangfeng Ji and Jacob Eisenstein
2015 arXiv   pre-print
We show that the discourse analyses produced by Rhetorical Structure Theory (RST) parsers can improve document-level sentiment analysis, via composition of local information up the discourse tree.  ...  Discourse structure is the hidden link between surface features and document-level properties, such as sentiment polarity.  ...  Since document-level opinion mining inherently involves multi-sentence texts, it seems that analysis of document-level structure should have a role to play.  ... 
arXiv:1509.01599v2 fatcat:b5jfxo47sjdsjkfjtfordourui

Better Document-level Sentiment Analysis from RST Discourse Parsing

Parminder Bhatia, Yangfeng Ji, Jacob Eisenstein
2015 Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing  
We show that the discourse analyses produced by Rhetorical Structure Theory (RST) parsers can improve document-level sentiment analysis, via composition of local information up the discourse tree.  ...  Discourse structure is the hidden link between surface features and document-level properties, such as sentiment polarity.  ...  Since document-level opinion mining inherently involves multi-sentence texts, it seems that analysis of document-level structure should have a role to play.  ... 
doi:10.18653/v1/d15-1263 dblp:conf/emnlp/BhatiaJE15 fatcat:ahst7n7cybfyrjknl6myfgrcgi
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