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Focused retrieval and result aggregation with political data

Rianne Kaptein, Maarten Marx
2010 Information retrieval (Boston)  
This paper presents a case-study in which we use a large semi-structured data set consisting of official transcripts of meetings of the Dutch parliament for focused retrieval and result aggregation.  ...  Concerning result aggregation, we summarise and visualise the structure of meetings into tables of content and interruption graphs.  ...  the original author(s) and source are credited.  ... 
doi:10.1007/s10791-010-9130-z fatcat:yc62gobhz5apnhqze3gn54arwa

Graph Based Temporal Aggregation for Video Retrieval [article]

Arvind Srinivasan, Aprameya Bharadwaj, Aveek Saha, Subramanyam Natarajan
2020 arXiv   pre-print
Large scale video retrieval is a field of study with a lot of ongoing research. Most of the work in the field is on video retrieval through text queries using techniques such as VSE++.  ...  However, there is little research done on video retrieval through image queries, and the work that has been done in this field either uses image queries from within the video dataset or iterates through  ...  The results in table I show improved mAP rates when compared with table III and similarly the results in table II show improved mAP rates when compared with table IV .  ... 
arXiv:2011.02426v1 fatcat:7nwirnlj2zcl5fuy6uzr7f5sp4

Deriving Locational Reference through Implicit Information Retrieval

Thomas Hervey, Werner Kuhn
2016 International Conference on GIScience Short Paper Proceedings  
The often fragmented process of online spatial data retrieval remains a barrier to domain scientists interested in spatial analysis.  ...  To implement this, we develop a user interface that: collects data through web APIs and scrapers, determines locational reference as geometries, and re-encodes the data as explicit spatial information,  ...  This begs the question, why so few GIR studies have focused on aiding implicit spatial data retrieval.  ... 
doi:10.21433/b3110tn5s4v9 fatcat:uzuct6pherbarbqjrkk3vkoswm

Entity Retrieval and Text Mining for Online Reputation Monitoring [article]

Pedro Saleiro
2018 arXiv   pre-print
In practice, current ORM methods are constrained to the generation of data analytics reports, which aggregate statistics of popularity and sentiment on social media.  ...  political surveys.  ...  Data Aggregation Buzz is the daily frequency with which political leaders are mentioned by Twitter users, bloggers and online media news. We use two types of indicators.  ... 
arXiv:1801.07743v1 fatcat:f56lljaavnd6zm4vnngs2m3tga

Collaborative Tools for e-Participation across Networks: The Comuno Networking Site for Public Governance and Services

Michael Kaschesky, Reinhard Riedl
2010 JeDEM - eJournal of eDemocracy & Open Government  
These tools and related aspects of the Comuno networking site are discussed and presented in the context of deliberation and opinion-forming in a Swiss bilingual city.  ...  The UserFeed and TopicFeed tools build RSS feeds from content published by a specific user or under a specific topic.  ...  Governments throughout the world have embarked on extensive campaigns to increase the number of online interactions with citizens and to provide large amounts of data and information over the internet  ... 
doi:10.29379/jedem.v2i1.17 fatcat:c6kf7u6xu5gkfk5a5rkyu5gfhy

Predicting the Leading Political Ideology of YouTube Channels Using Acoustic, Textual, and Metadata Information [article]

Yoan Dinkov, Ahmed Ali, Ivan Koychev, Preslav Nakov
2019 arXiv   pre-print
Previous work on the problem has focused exclusively on text and on analysis of the language used, topics discussed, sentiment, and the like.  ...  Starting with gold annotations about the leading political ideology of major world news media from Media Bias/Fact Check, we searched on YouTube to find their corresponding channels, and we downloaded  ...  The project is developed in collaboration between the Qatar Computing Research Institute (QCRI), HBKU and the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL).  ... 
arXiv:1910.08948v1 fatcat:dc7wervdpfexzbupljw6d4jxoa

Predicting the Leading Political Ideology of YouTube Channels Using Acoustic, Textual, and Metadata Information

Yoan Dinkov, Ahmed Ali, Ivan Koychev, Preslav Nakov
2019 Interspeech 2019  
Previous work on the problem has focused exclusively on text and on analysis of the language used, topics discussed, sentiment, and the like.  ...  Starting with gold annotations about the leading political ideology of major world news media from Media Bias/Fact Check, we searched on YouTube to find their corresponding channels, and we downloaded  ...  The project is developed in collaboration between the Qatar Computing Research Institute (QCRI), HBKU and the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL).  ... 
doi:10.21437/interspeech.2019-2965 dblp:conf/interspeech/Dinkov0KN19 fatcat:nhxs3343bbezzhsnpvr2vuch3i

RMIT at PAN-CLEF 2020: Profiling Fake News Spreaders on Twitter

Xinhuan Duan, Elham Naghizade, Damiano Spina, Xiuzhen Zhang
2020 Conference and Labs of the Evaluation Forum  
In this paper, we approach this challenge through extracting linguistic and sentiment features from users' tweet feed as well as retrieving the presence of emojis, hashtags and political bias in their  ...  However, the studies on user credibility in this context have largely focused on the frequency and times of engaging in a fake news propagation rather than profiling users based on the content of their  ...  After aggregating the features that are retrieved at the tweet-level to retrieve the profile-level features, this vector is fed to an SVM classifier 6 to create the final model.  ... 
dblp:conf/clef/DuanNSZ20 fatcat:jc3zzlblnba6nkq4iev6o4x5t4

A Big Data based Smart Evaluation System using Public Opinion Aggregation

Robin G. Qiu, Helio Ha, Ramya Ravi, Lawrence Qiu, Youakim Badr
2016 Proceedings of the 18th International Conference on Enterprise Information Systems  
We review such a big data based framework (Qiu et al., 2015) in support of data retrieving, aggregations, transformations, and visualizations by focusing on public ratings and comments from different data  ...  Assessing service quality proves very subjective, varying with objectives, methods, tools, and areas of assessment in the service sector.  ...  ACKNOWLEDGEMENTS This work was done with great support and help from the Big Data Lab at Penn State. Dr. Adrian Barb from Penn State significantly contributed to the deployment of big data platforms.  ... 
doi:10.5220/0005867805200527 dblp:conf/iceis/QiuHRQB16 fatcat:ds53dtvxkbejnjgkwmi6j2er6y

Committee-Based Profiles for Politician Finding

Luis M. De Campos, Juan M. Fernández-Luna, Juan F. Huete
2017 International Journal of Uncertainty Fuzziness and Knowledge-Based Systems  
These committee-based profiles are treated as documents and are indexed by an information retrieval system. Given a query representing a citizen's concern, a profile ranking is then obtained.  ...  In the final step, the different results for each candidate are combined in order to obtain the final politician ranking.  ...  Acknowledgments This work has been funded by the Spanish Ministerio de Economía y Competitividad under projects TIN2013-42741-P and TIN2016-77902-C3-2-P, and the European Regional Development Fund (ERDF-FEDER  ... 
doi:10.1142/s0218488517400098 fatcat:t226cxxdonbmvjbllutbaiutwe

The economic burden of stroke: a systematic review of cost of illness studies

Stefan Strilciuc, Department of Neuroscience, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania, Department of Neuroscience, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania, Diana Alecsandra Grad, Constantin Radu, Diana Chira, Adina Stan, Marius Ungureanu, Adrian Gheorghe, Fior-Dafin Muresanu, RoNeuro Institute for Neurological Research and Diagnostic, Cluj-Napoca, Romania, Department of Public Health, Faculty of Political, Administrative and Communication Sciences, Babes-Bolyai University, Cluj-Napoca, Romania (+11 others)
2021 Journal of Medicine and Life  
Resulting costs were grouped in two main categories: per patient per year and per patient lifetime. We extracted information from forty-six cost of illness studies.  ...  Existing literature regarding the economic burden of stroke is concentrated in high-income settings, with very few studies conducted in South America and Africa.  ...  Finally, relevant articles from other systematic reviews retrieved from search results were added to our final selection. Duplicates were removed with OpenRefine data cleaning software (version 3.2).  ... 
doi:10.25122/jml-2021-0361 pmid:35027963 pmcid:PMC8742896 fatcat:btgviwdvczdfjndkj5eh73yqgu

Complex search: aggregation, discovery, and synthesis

G Singer, D Danilov, U Norbisrath
2012 Proceedings of the Estonian Academy of Sciences  
Especially support for aggregating search results from multiple search-queries, taking into account discoveries made during a complex search task, and synthesizing them to some newly compiled document  ...  We focus in this work on the exploratory search concepts aggregation, discovery, and synthesis.  ...  ACKNOWLEDGEMENTS This research was supported by the Estonian Information Technology Foundation (EITSA) and the Tiger University programme.  ... 
doi:10.3176/proc.2012.2.02 fatcat:nob63qx44bd6hifcq6nkqn23za

Taking tweets to the streets: A spatial analysis of the Vinegar Protests in Brazil
English

Marco Toledo Bastos, Raquel Da Cunha Recuero, Gabriela Da Silva Zago
2014 First Monday  
We adjusted the data for the uneven distribution of the population and performed geospatial and spatial clustering analysis over sets of spatial locations.  ...  tweets related to the events and compared the data to the location of protestors attending the street demonstrations.  ...  Data related to the number of protestors onsite was retrieved from press reports and aggregated by number of protestors per location (see Annex I) in order to be cross-comparable with the data retrieved  ... 
doi:10.5210/fm.v19i3.5227 fatcat:lkckzwffczdfpjl5uyhw2namva

Towards Passive Political Opinion Polling using Twitter

Nicholas A. Thapen, Moustafa M. Ghanem
2013 SGAI Conferences  
We describe our data collection methods, analysis tools and evaluation framework and discuss our results and the factors affecting their accuracy.  ...  We then investigate using the volume and sentiment of the tweets from other users as a proxy for their voting intention and compare the results against existing poll data.  ...  We focused on UK Members of Parliament (MPs) with the assumption that their tweets would mainly be focused on topical political issues.  ... 
dblp:conf/sgai/ThapenG13 fatcat:6n6sfixybzaczkx2iv3hljer7y

Integrated Searching Technique for IR from Web Repository

Yagnesh Dave, Bijendra S.
2015 International Journal of Computer Applications  
The proposed work dealt with an integrated approach in searching technique to retrieve information from web data repository.  ...  The effective and efficient retrieval as well as mining hidden patterns in a large volume of unstructured data as well as hypertext data has opened a window of research on web data mining.  ...  Dik Lun Lee [8] focused on the VSM for retrieval of more number of resultant data based on text retrieving approaches with the use of electronic form.  ... 
doi:10.5120/ijca2015906274 fatcat:3zvvrt3lgbdltfvjk6q26g64km
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