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A Borda count for collective sentiment analysis

Umberto Grandi, Andrea Loreggia, Francesca Rossi, Vijay Saraswat
2015 Annals of Mathematics and Artificial Intelligence  
is based on the assumption that sentiment analysis and preference aggregation yields different results.  ...  extracted from the previous example. a a P | | b ∼ c b b c Z a N | c Challenge II: How to aggregate individual information into a collective opinion?  ...  Classical studied in Computational Social Choice: • Strategy-proofness (aka resistance to individual manipulation): not interesting, absence of incentives for individual deviations...  ... 
doi:10.1007/s10472-015-9488-0 fatcat:pk4ibxxvgbe5xcejmluko5f55i

Using Sentiment Analysis for Pseudo-Relevance Feedback in Social Book Search

Amal Htait, Sébastien Fournier, Patrice Bellot, Leif Azzopardi, Gabriella Pasi
2020 Proceedings of the 2020 ACM SIGIR on International Conference on Theory of Information Retrieval  
ACKNOWLEDGMENTS The authors would like to thank the followings for their support: -Project EquipEx DILOH (ANR-11-EQPX-0013) -Project Cumulative Revelations in Personal Data (EP/R033897/1)  ...  Proposed Query Expansion: For the proposed sentiment-based Query Expansion method, as for the classic tf-idf one, the retrieved list of the Borda Count aggregation method applied on the baseline is used  ...  In addition to the retrieval models, we also employed a meta-search strategy based on Borda Count [6] , it was included since previous studies have shown that combining results has been effective for  ... 
doi:10.1145/3409256.3409847 fatcat:3e56m3mmrnethpfpowhbnvg2im

Improved Sentiment Classification by Multi-Modal Fusion

Lige Gan, Rachid Benlamri, Richard Khoury
2017 2017 IEEE Third International Conference on Big Data Computing Service and Applications (BigDataService)  
= ∏ =1 (4. 7) Borda Count Borda Count is a data fusion algorithm that is based on ranking.  ...  Take Borda Count for instance, it is essentially a classical method for election. For each candidate, the method will assign a weight according to the candidate's rank in a voting cycle.  ... 
doi:10.1109/bigdataservice.2017.11 dblp:conf/bigdataservice/GanBK17 fatcat:qq7kagwcafgydacasywbkcvci4

Relevance Feedback Based Query Expansion Model Using Borda Count and Semantic Similarity Approach

Jagendra Singh, Aditi Sharan
2015 Computational Intelligence and Neuroscience  
Second, Borda count rank aggregation approach is used for combining multiple query expansion terms selection methods.  ...  Third, the semantic similarity approach is used to select semantically similar terms with the query after applying Borda count ranks combining approach.  ...  finding patterns for concept level sentiment analysis [12] , and analysis of emotions in natural language [13] .  ... 
doi:10.1155/2015/568197 pmid:26770189 pmcid:PMC4685438 fatcat:7hktrqueabh3rnf6hzowpb6goy

From Sentiment Analysis to Preference Aggregation

Umberto Grandi, Andrea Loreggia, Francesca Rossi, Vijay A. Saraswat
2014 International Symposium on Artificial Intelligence and Mathematics  
We propose to exploit and adapt formalisms, methods, and tools from knowledge representation and voting theory to generalize sentiment analysis and obtain an accurate definition of collective sentiment  ...  Current sentiment analysis techniques are good enough when predicting the opinion of a community of individuals over one item, but they may produce wrong or inaccurate results when several possibly correlated  ...  For instance, if each individual submits two partial orders together with polarity information as in the previous example, a generalized notion of the Borda count can be devised to work on this more complex  ... 
dblp:conf/isaim/GrandiLRS14 fatcat:4yh43a4h65by7nk3eo7eicb45e

Nostalgia Isn't What it Used to Be: Partisan Polarization in Views on the Past*

Matthew V. Hibbing, Matthew Hayes, Raman Deol
2016 Social Science Quarterly  
To do this, we administered a novel battery of questions to a nationally representative sample drawn from the 2012 Cooperative Campaign Analysis Project. Results.  ...  FIGURE 1 Average Borda Count for Quality of Life by Cohort FIGURE 2 Nostalgia for Government Performance by Party FIGURE 3 FIGURE 4 Borda Count for Government Performance by Party FIGURE 5 TABLE  ...  To investigate this, we also examine average Borda Count scores for each decade based on party. 4 Figure 4 shows the average Borda Count ranking of each decade by self-identified partisanship.  ... 
doi:10.1111/ssqu.12298 fatcat:hc6cm25svngs3naulheeevyfvu

Review Length Aware Hybrid Approach to Sentiment Analysis

Babaljeet Kaur
2016 International Journal of Modern Education and Computer Science  
Sentiment analysis is a popular research problem to find out within the natural language processing that is dealing with identifying the sentiments or mood of people's towards elements such as product,  ...  However, there are few researches conducted on the sentiment analysis of technical article review, so to overcome this deficiency conducts the sentiment analysis over the technical article review and classifying  ...  METHODOLOGY The proposed study has designed a hybrid approach for developing sentiment analysis process.  ... 
doi:10.5815/ijmecs.2016.11.08 fatcat:hozqcr42qbbkpmwzsi5425smci

A Hybrid Approach to Sentiment Analysis of Technical Article Reviews

Babaljeet Kaur, Naveen Kumari
2016 International Journal of Education and Management Engineering  
Sentiment analysis is similar to opinion mining, which is a popular research problem to search out in the field of NLP.  ...  Sentiment analysis determines the perspective of the author and identifies the positive, negative and neutral reviews.  ...  Naveen Kumari for all help and valuable suggestion provided by her during the study and special thanks to Associate Professor Mr. Michael Swift who help me in collection of reviews.  ... 
doi:10.5815/ijeme.2016.06.01 fatcat:cvfjtjgpvrchpot6gr2ruwhlam

Risk factors and risk level assessment: Forty thousand emergencies over the past decade in China

Ning Ma, Yijun Liu
2020 Jàmbá : Journal of Disaster Risk Studies  
Based on this risk matrix, combined with expert knowledge, the Borda count and the analytic hierarchy process analysis, risk levels can be precisely assessed, solving 'how to provide a solution' (How),  ...  risk matrix that is suitable for China's national conditions.  ...  Ethical consideration The authors confirm that ethical clearance was not required for the study.  ... 
doi:10.4102/jamba.v12i1.916 pmid:33240465 pmcid:PMC7669998 fatcat:bty3t7rnm5ci3ksvshx4orwbw4

Which Languages do People Speak on Flickr?

Alireza Koochali, Sebastian Kalkowski, Andreas Dengel, Damian Borth, Christian Schulze
2016 Proceedings of the 2016 ACM Workshop on Multimedia COMMONS - MMCommons '16  
Since the YFCC100m metadata does not provide any information about the languages used in the dataset, this paper presents the first analysis of this kind.  ...  Also, this language information is essential for further linguistic studies on the metadata of the YFCC100m dataset.  ...  Consequently, we can determine a set of all languages utilized by a user for his/her images alongside their borda count.  ... 
doi:10.1145/2983554.2983560 fatcat:jar5zim6w5g2xbdwalextetfsa

Page 5661 of Mathematical Reviews Vol. , Issue 2003g [page]

2003 Mathematical Reviews  
The unanimity rule makes sense only as a way to ensure that minority views are respected.” 2003g:91039 91B12 Ratliff, Thomas C. (1-WHEA; Norton, MA A comparison of Dodgson’s method and the Borda count.  ...  Summary: “The analysis of the behavioral and social implications of the intensity of moral sentiments requires that these emotions be quantified.  ... 

Survey and Analysis of Recent Sentiment Analysis Schemes Relating to Social Media

Osamah Ali Mohammed Ghaleb, Anna Saro Vijendran
2016 Indian Journal of Science and Technology  
Thus this paper work provides a detailed analysis of the recent sentiment analysis schemes and throws light on new avenues for future research work in this domain.  ...  the business world sentiment analysis provides a clear picture of both quality and user satisfaction about the products, services or an event.  ...  )-91.1%, accuracy (using Borda count)-91.9% Table 1.  ... 
doi:10.17485/ijst/2016/v9i41/97767 fatcat:447w5xhaunaavfxgbitggsjhqi

Social Network Influencer Rank Recommender Using Diverse Features from Topical Graph

Divyani Mittal, Pooja Suthar, Madhuri Patil, P.G.S. Pranaya, Dipti P. Rana, Bharat Tidke
2020 Procedia Computer Science  
OSN data as a graph depicts people/user as node and their relationship as link/edge. Influence Analysis is an important area of research on OSN data.  ...  OSN data as a graph depicts people/user as node and their relationship as link/edge. Influence Analysis is an important area of research on OSN data.  ...  Bharat Tidke for their invaluable guidance, constant assistance, support, endurance and constructive suggestions for the progress of the research.  ... 
doi:10.1016/j.procs.2020.03.205 fatcat:muih5szhffhxjnvbntcnpj33r4

Selection of an Integrated Security Area for locating a State Military Organization (SMO) based on group decision system: a multicriteria approach [article]

Jean Gomes Turet, Ana Paula Cabral Seixtas Cabral, Pascale Zaraté
2020 arXiv   pre-print
For this work the Group Decision Support System (GDSS) called GRoUp Support (GRUS) was used from two main Vote techniques: Condorcet and Borda.  ...  Based on that, one of the main points that generate great discussion at the governmental level is the choice of a certain integrated security area for the installation of a certain police battalion.  ...  A count is then proceeded follows: each position in the ranking is given a score: 1 point for the last ranked, 2 for the second to last, 3 for the second to last etc., ie the distance between each preference  ... 
arXiv:2006.08155v1 fatcat:p32xrm4qargrpdai54uik7lr64

Annotation Error Detection: Analyzing the Past and Present for a More Coherent Future [article]

Jan-Christoph Klie, Bonnie Webber, Iryna Gurevych
2022 arXiv   pre-print
In addition, we define a uniform evaluation setup including a new formalization of the annotation error detection task, evaluation protocol and general best practices.  ...  Annotated data is an essential ingredient in natural language processing for training and evaluating machine learning models. It is therefore very desirable for the annotations to be of high quality.  ...  Stefan Larson for answering our questions regarding their publications and for making datasets and code available.  ... 
arXiv:2206.02280v1 fatcat:cgwz3svxqzh7zkqze775q5udey
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