A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf
.
Filters
Should I Care about Your Opinion? Detection of Opinion Interestingness and Dynamics in Social Media
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]
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
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]
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
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
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
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
2017
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
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
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)
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]
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]
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]
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
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
« Previous
Showing results 1 — 15 out of 129 results