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Should I Care about Your Opinion? Detection of Opinion Interestingness and Dynamics in Social Media

Diana Maynard, Gerhard Gossen, Adam Funk, Marco Fisichella
2014 Future Internet  
In this paper, we describe a set of reusable text processing components for extracting opinionated information from social media, rating it for interestingness, and for detecting opinion events.  ...  The opinions are then aggregated over larger sections of text, to give some overall sentiment about topics and documents, and also some degree of information about interestingness based on opinion diversity  ...  Author Contributions The work on opinion detection, aggregation and summarisation was performed by Diana Maynard, with assistance from Adam Funk on the algorithm for calculating opinion interestingness  ... 
doi:10.3390/fi6030457 fatcat:3tqgbrfwvzgv7buomducburova

Analyzing the Dynamics of Communication in Online Social Networks [chapter]

Munmun De Choudhury, Hari Sundaram, Ajita John, Doree Duncan Seligmann
2010 Handbook of Social Network Technologies and Applications  
This dissertation deals with the analysis of interpersonal communication dynamics in online social networks and social media.  ...  sociological framework emergent of the communication process, and the channel i.e. the media via which communication takes place.  ...  your friends and family online.  ... 
doi:10.1007/978-1-4419-7142-5_4 fatcat:d2mn6rm64zg2bdgo4kdoysyi64

A Text-Based Chat System Embodied with an Expressive Agent

Lamia Alam, Mohammed Moshiul Hoque
2017 Advances in Human-Computer Interaction  
Life-like characters are playing vital role in social computing by making human-computer interaction more easy and spontaneous.  ...  Nowadays, use of these characters to interact in online virtual environment has gained immense popularity.  ...  Conflicts of Interest The authors declare that there are no conflicts of interest regarding the publication of this paper.  ... 
doi:10.1155/2017/8962762 fatcat:hhlve73b5bglhh4v42p42autha

LaMDA: Language Models for Dialog Applications [article]

Romal Thoppilan, Daniel De Freitas, Jamie Hall, Noam Shazeer, Apoorv Kulshreshtha, Heng-Tze Cheng, Alicia Jin, Taylor Bos, Leslie Baker, Yu Du, YaGuang Li, Hongrae Lee (+48 others)
2022 arXiv   pre-print
Finally, we explore the use of LaMDA in the domains of education and content recommendations, and analyze their helpfulness and role consistency.  ...  LaMDA is a family of Transformer-based neural language models specialized for dialog, which have up to 137B parameters and are pre-trained on 1.56T words of public dialog data and web text.  ...  Hao Zhou for their help with the paper and the project.  ... 
arXiv:2201.08239v3 fatcat:mijuot4z3bdzxa6qplbjrucrem

Utilizing Structural Network Positions to Diversify People Recommendations on Twitter

Ekaterina Olshannikova, Erjon Skenderi, Thomas Olsson, Sami Koivunen, Jukka Huhtamäki, Christos Troussas
2022 Advances in Human-Computer Interaction  
The proposed strategy contributes to the design of a people recommender system, which exposes users to diverse recommendations and facilitates new social ties in online social networks.  ...  Consequently, this article proposes a social diversification strategy for recommending potentially relevant people based on three structural positions in egocentric networks: dormant ties, mentions of  ...  Acknowledgments is work was conducted under Business Finland Project Big Match (3166/31/2017 and 3074/31/2017).  ... 
doi:10.1155/2022/6584394 fatcat:zvldz2ylzncozc4mpt5cctixum

Reading the source code of social ties

Luca Maria Aiello, Rossano Schifanella, Bogdan State
2014 Proceedings of the 2014 ACM conference on Web science - WebSci '14  
Our methods finds applications in online social media services ranging from recommendation to visual link summarization.  ...  of status, knowledge and social support.  ...  Technology under the CENIT program, project CEN-20101037 "Social Media", and by Grant TIN2009-14560-C03-01 of the Ministry of Science and Innovation of Spain.  ... 
doi:10.1145/2615569.2615672 dblp:conf/websci/AielloSS14 fatcat:f7r5pp3hr5bkbl4uyclxsf7qma

Harvesting and analysis of weak signals for detecting lone wolf terrorists

Joel Brynielsson, Andreas Horndahl, Fredrik Johansson, Lisa Kaati, Christian Mårtenson, Pontus Svenson
2013 Security Informatics  
However, these individuals often make use of Internet to spread their beliefs and opinions, and to obtain information and knowledge to plan an attack.  ...  In this article we present an analysis method that can be used to analyze extremist forums to detect digital traces of possible lone wolf terrorists.  ...  Acknowledgements This research was financially supported by the Swedish Governmental Agency for Innovation Systems (VINNOVA) through the VINNMER program, and by the R&D program of the Swedish Armed Forces  ... 
doi:10.1186/2190-8532-2-11 fatcat:p3twoi2k6fgs7oambhlwtvbzs4

Aspect Level Public Opinion Detection, Tracking and Visualization on Social Media

Wanying Ding, Xiaohua Hu, Chaomei Chen
With respect to public opinion detection, traditional machine learning methods require laborious training data labeling and careful feature engineer.  ...  Social Media has enriched the opinion resources but also brought new problems, such as Big Data Problem, Information Fragmentation Problem, Time Sensitive Evolution Problem, and Visualization Problem.  ...  in some sort of political activity on social media, and 43% of them decide to learn more about a political or social issue because of something they saw on social media 5 . • In Entertainment Area. 37%  ... 
doi:10.17918/etd-7653 fatcat:hocicam6one2fe4lfvjegtrx5a

Survey on Online Social Networks Analysis Concepts and Knowledge Discovery Techniques

Noha Negm, Hany Mahgoub
2019 International Journal of Computer Applications  
Accessing to OSN sites such as Twitter, Facebook, LinkedIn and Google Plus; the most dominant social media in the world, through the internet and the web 2.0 technologies has become more comfortable.  ...  Now, it has increased various challenges for the evolution of the web and simultaneously increased the dynamic changes in its structure so it became harder to manually analyze very broad OSN.  ...  This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.  ... 
doi:10.5120/ijca2019918904 fatcat:cpgrjidxxvhcxjycf3xewrss4y

Personalization in multimedia retrieval: A survey

Yijuan Lu, Nicu Sebe, Ross Hytnen, Qi Tian
2010 Multimedia tools and applications  
The goal of this survey is to give an overview of the current situation in the branches of research that are involved in annotation, relation and presentation to a user by preference.  ...  With the explosive broadcast of multimedia (text documents, image, video etc.) in our life, how to annotate, search, index, browse and relate various forms of information efficiently becomes more and more  ...  The work of Yijuan Lu was supported in part by the Research Enhancement Program (REP) and start-up funding from the Texas State University.  ... 
doi:10.1007/s11042-010-0621-0 fatcat:lopdnnydibfbtowpl2bicoswye

Concept Relation Discovery and Innovation Enabling Technology (Cordiet)

Jonas Poelmans, Paul Elzinga, Stijn Viaene, Guido Dedene
2010 Social Science Research Network  
Acknowledgements Jonas Poelmans is aspirant of the "Fonds voor Wetenschappelijk Onderzoek -Vlaanderen" or "Research Foundation Flanders". The contribution of Dmitry Ignatov  ...  Acknowledgements Jonas Poelmans is aspirant of the "Fonds voor Wetenschappelijk Onderzoek -Vlaanderen" or "Research Foundation Flanders".  ...  "socialization", to detect similarities and differences in various descriptions of this social phenomenon.  ... 
doi:10.2139/ssrn.1713124 fatcat:f27e6pnel5awtkziz2qxmpqrzq

Interactive and Explainable Point-of-Interest Recommendation using Look-alike Groups [article]

Behrooz Omidvar-Tehrani, Sruthi Viswanathan, Jean-Michel Renders
2020 arXiv   pre-print
The literature contains personalized and socialized POI recommendation approaches which employ historical check-ins and social links to make recommendations.  ...  Moreover, LikeMind employs "mindsets", which capture actual situation and intent of the user, and enforce the semantics of POI interestingness.  ...  ACKNOWLEDGEMENT We thank Antonietta Grasso, Adrien Bruyat, Cécile Boulard, and Denys Proux, for their valuable comments and feedback.  ... 
arXiv:2009.00099v1 fatcat:jkrpjb3f5raelecx33c5jj2wzq

Building A User-Centric and Content-Driven Socialbot [article]

Hao Fang
2020 arXiv   pre-print
Additionally, we construct a new knowledge base to power the socialbot by collecting social chat content from a variety of sources.  ...  Using the data collected from Sounding Board during the competition, we carry out in-depth analyses of socialbot conversations and user ratings which provide valuable insights in evaluation methods for  ...  A family-friendly socialbot should avoid mentioning content about sex, violence, racism, hate speech, etc. Therefore, we need to be extremely careful about the social appropriateness of the content.  ... 
arXiv:2005.02623v1 fatcat:oxsgfakzbzb7njqgfileddlsry

Task-oriented Dialogue Systems: performance vs. quality-optima, a review [article]

Ryan Fellows, Hisham Ihshaish, Steve Battle, Ciaran Haines, Peter Mayhew, J. Ignacio Deza
2021 arXiv   pre-print
This paper explores the literature on evaluative frameworks of dialogue systems and the role of conversational quality attributes in dialogue systems, looking at if, how, and where they are utilised, and  ...  TODS typically have a primary design focus on completing the task at hand, so the metric of task-resolution should take priority.  ...  Authors would like to acknowledge the assistance provided by Mark Davis and his team in the initial discussions leading to this study and for their collaboration on the project.  ... 
arXiv:2112.11176v1 fatcat:kzzj4mayhbhdrmoffu4or6s4uy

Forecasting Retweet Count during Elections Using Graph Convolution Neural Networks

Raghavendran Vijayan, George Mohler
2018 2018 IEEE 5th International Conference on Data Science and Advanced Analytics (DSAA)  
With the advent of social media applications like Twitter, Facebook, and others, people create and connect to new friends, spread information about what they are doing, and what they are witnessing to  ...  I appreciate your time for being always open v to help me with my queries.  ... 
doi:10.1109/dsaa.2018.00036 dblp:conf/dsaa/VijayanM18 fatcat:3lkd3vbafbdufjekipi6grnvwy
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