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Dear search engine: what's your opinion about...?

Gianluca Demartini, Stefan Siersdorfer
2010 Proceedings of the 3rd International Semantic Search Workshop on - SEMSEARCH '10  
In a preliminary empirical analysis, we compare up to 50 results from 3 commercial search engines on 14 controversial queries to study the relation between sentiments, topics, and rankings.  ...  Search Engines have become the main entry point to Web content, and a large part of the "visible" Web consists in what is presented by them as top retrieved results.  ...  This work is partially supported by the EU Large-scale Integrating Project LivingKnowledge 6 -Facts, Opinions and Bias in Time (contract no. 231126).  ... 
doi:10.1145/1863879.1863883 fatcat:467zwrzcorhfbhi3uya6ecdblm

Biased or Not?: The Story of Two Search Engines [article]

Gizem Gezici
2021 arXiv   pre-print
search topic, and they should be impartial where the results are returned based on relevance.  ...  However, the search engine results are based on many features and sophisticated algorithms where search neutrality is not necessarily the focal point.  ...  between the retrieved results of a search engine and a fair list of documents.  ... 
arXiv:2112.12802v1 fatcat:mffwggsbhjcajlsrznwaycxgxa

Diversifying Product Review Rankings: Getting the Full Picture

Ralf Krestel, Nima Dokoohaki
2011 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology  
Current approaches to present them to the user or recommend an individual review for a product are based on the helpfulness or usefulness of each review.  ...  On-line customers spend hours and hours going through heaps of textual reviews to build confidence in products they are planning to buy.  ...  top-k results. (3) Diversification of review rankings based on star ratings and/or latent topics.  ... 
doi:10.1109/wi-iat.2011.33 dblp:conf/webi/KrestelD11 fatcat:eaxrhytqizcyfce6iqh7i4lbvq

Information extraction from multimedia web documents: an open-source platform and testbed

David Paul Dupplaw, Michael Matthews, Richard Johansson, Giulia Boato, Andrea Costanzo, Marco Fontani, Enrico Minack, Elena Demidova, Roi Blanco, Thomas Griffiths, Paul Lewis, Jonathon Hare (+1 others)
2014 International Journal of Multimedia Information Retrieval  
The LivingKnowledge project aimed to enhance the current state of the art in search, retrieval and knowledge management on the web by advancing the use of sentiment and opinion analysis within multimedia  ...  To achieve this aim, a diverse set of novel and complimentary analysis techniques have been integrated into a single but extensible software platform on which such applications can be built.  ...  We would also like to thank all our partners who contributed to the LivingKnowledge project on which this work has been built.  ... 
doi:10.1007/s13735-014-0051-2 fatcat:cvt7gssl5vfarh2wxez25z6y6u

Improving Comparative Sentence Extraction of Chinese Product Reviews by Sentiment Analysis

Lulin Shi, School of Infor mation and Computer Engineering, Northeast Forestry University, Harbin 150040, PR China, Shi Li, Ping Jiang, Hongsen Liu, School of Infor mation and Computer Engineering, Northeast Forestry University, Harbin 150040, PR China, School of Infor mation and Computer Engineering, Northeast Forestry University, Harbin 150040, PR China, School of Infor mation and Computer Engineering, Northeast Forestry University, Harbin 150040, PR China
2016 Journal of Engineering Science and Technology Review  
At present studies of Chinese Comparative Sentence Identification are based on Pattern Matching and Supervised Machine Learning Algorithm, in which its performance requires further improvement.  ...  Experimental results on Chinese customer reviews show that the final F-score value increased to 87.54%.  ...  Acknowledgements The study was supported by the National Undergraduate Training Programs for Innovation and Entrepreneurship (No. 201610225054) and the Fundamental Research Funds for the Central Universities  ... 
doi:10.25103/jestr.096.22 fatcat:r6esqdzqkfg5rome4oslexxpl4

Image Diversity Analysis: Context, Opinion and Bias

Pamela Zontone, Giulia Boato, Francesco G. B. De Natale, Alessia De Rosa, Mauro Barni, Alessandro Piva, Jonathon S. Hare, David Dupplaw, Paul H. Lewis
2009 International Semantic Web Conference  
We describe a number of different dimensions of diversity; in particular, we analyze the dimensions related to image searches and context analysis, emotions conveyed by images and opinion mining, and bias  ...  In this paper we focus on images and their role in the analysis of diversity.  ...  Image search engines on the web, since they are based on exploiting textual information associated with an image, often do not care about the diversification of final visual results.  ... 
dblp:conf/semweb/ZontoneBNRBPHDL09 fatcat:dy7lurglszhqlhslb7qv3yps2e

Second order probabilistic models for within-document novelty detection in academic articles

Laurence A.F. Park, Simeon Simoff
2014 Proceedings of the 37th international ACM SIGIR conference on Research & development in information retrieval - SIGIR '14  
a shopping search engine and data-centric cloud computing services."  ...  Using Score Differences for Search Result Diversification Sadegh Kharazmi, Mark Sanderson, Falk Scholer, David Vallet 81.  ... 
doi:10.1145/2600428.2609520 dblp:conf/sigir/ParkS14 fatcat:ye2rtri2xjbyrjvkkzgt7srcfu

EAIMS

Richard McCreadie, Craig Macdonald, Iadh Ounis
2016 Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval - SIGIR '16  
Social media has great potential as a means to enable civil protection and law enforcement agencies to more effectively tackle disasters and emergencies.  ...  The Emergency Analysis Identification and Management System (EAIMS) is a prototype service that provides real-time detection of emergency events, related information finding and credibility analysis tools  ...  To provide social search capabilities, we build on top of the real-time indexing and retrieval functionality of the Terrier search engine platform [7] .  ... 
doi:10.1145/2911451.2911460 dblp:conf/sigir/McCreadieMO16 fatcat:5zpqmgxngnd4ncqxkx4qaviqzm

Navigating Controversy as a Complex Search Task

Shiri Dori-Hacohen, Elad Yom-Tov, James Allan
2015 European Conference on Information Retrieval  
Seeking information on a controversial topic is often a complex task, for both the user and the search engine. There are multiple subtleties involved with information seeking on controversial topics.  ...  cases where search queries have a measurable effect on the well-being of people.  ...  Any opinions, findings and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect those of the sponsor.  ... 
dblp:conf/ecir/Dori-HacohenYA15 fatcat:ufbmnfowz5bule5oppy7md2rdq

Report on the Information Retrieval Festival (IRFest2017)

Leif Azzopardi, Craig Macdonald, Iadh Ounis, Martin Halvey
2017 SIGIR Forum  
The focus of the workshop was to bring together IR researchers from the various Scottish universities and beyond in order to facilitate more awareness, increased interaction and reflection on the status  ...  The workshop had a total of 75 attendees from across the Scottish universities and beyond.  ...  Acknowledgements We would like to thank: the Scottish Informatics and Computing Science Alliance (SICSA); the University of Glasgow's 60th Anniversary Computing Science committee; and ACM SI-GIR executive  ... 
doi:10.1145/3130332.3130336 fatcat:3ejhaputzve5dileftpldba4uu

Natural Language Processing in-and-for Design Research [article]

L Siddharth, Lucienne T. M. Blessing, Jianxi Luo
2022 arXiv   pre-print
Using a heuristic approach, we gathered 223 articles that are published in 32 journals within the period 1991-present.  ...  We then propose a few methodological and theoretical directions for future NLP in-and-for design research.  ...  [2, pp. 119-121] provide a systematic approach to searching and retrieving biological stimuli based on the SAPPhIRE 17 model.  ... 
arXiv:2111.13827v3 fatcat:om5ty3jm2veh3kkwzpsfb2epzi

Automatically annotating a five-billion-word corpus of Japanese blogs for sentiment and affect analysis

Michal Ptaszynski, Rafal Rzepka, Kenji Araki, Yoshio Momouchi
2014 Computer Speech and Language  
This paper presents our research on automatic annotation of a five-billion-word corpus of Japanese blogs with information on affect and sentiment.  ...  The annotations are also generalized on a 2-dimensional model of affect to obtain information on sentence valence/polarity (positive/negative) useful in sentiment analysis.  ...  Retrieval of Moral Consequence of Actions Third application of the YACIS corpus annotated with affect-and sentiment-related information has been in a novel research on retrieval of moral consequences of  ... 
doi:10.1016/j.csl.2013.04.010 fatcat:2qmtbzkumze57b7jqkgipdxfqe

Privacy-aware image classification and search

Sergej Zerr, Stefan Siersdorfer, Jonathon Hare, Elena Demidova
2012 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval - SIGIR '12  
We employ the resulting classification models for specifically searching for private photos, and for diversifying query results to provide users with a better coverage of private and public content.  ...  In order to support users in making privacy decisions in the context of image sharing and to provide them with a better overview on privacy related visual content available on the Web, we propose techniques  ...  Privacy-Based Diversification A privacy-aware image search engine should provide an overview of the available search results, taking into account their privacy.  ... 
doi:10.1145/2348283.2348292 dblp:conf/sigir/ZerrSHD12 fatcat:whytrzqiqvhojjzbpvvgoz2eqq

Twitter Sentiment Detection via Ensemble Classification Using Averaged Confidence Scores [chapter]

Matthias Hagen, Martin Potthast, Michel Büchner, Benno Stein
2015 Lecture Notes in Computer Science  
The reproduced approaches are also combined in an ensemble, averaging the individual classifiers' confidence scores for the three classes and deciding sentiment polarity based on these averages.  ...  An error analysis shows that the ensemble classifier makes few severe misclassifications, such as identifying a positive sentiment in a negative tweet or vice versa.  ...  Finally, annotating search results with the expressed general sentiment can be helpful as a facet in result presentation [11] .  ... 
doi:10.1007/978-3-319-16354-3_81 fatcat:devl2ohwmzewrlzbmyy5cdbouy

Overview of the TREC 2014 Federated Web Search Track

Thomas Demeester, Dolf Trieschnigg, Dong Nguyen, Djoerd Hiemstra, Ke Zhou
2014 Text Retrieval Conference  
The TREC Federated Web Search track facilitates research on federated web search, by providing a large realistic data collection sampled from a multitude of online search engines.  ...  Other new aspects are the required link between the Resource Selection and Results Merging tasks, and the importance of diversity in the merged results.  ...  ACKNOWLEDGMENTS This work was funded by the Folktales As Classifiable Texts (FACT) project in The Netherlands, by the Dutch national project COMMIT, and by Ghent University -iMinds in Belgium.  ... 
dblp:conf/trec/DemeesterTNHZ14 fatcat:nqjxjeimuvc5tagautkx2cl3ni
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