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Advancement from Topic based to Information based Model: A Survey

Jyoti Dua, Prashant Shukla
2015 International Journal of Computer Applications  
topic detection to information diffusion modeling, containing prominent diffuser's identification.  ...  This paper presents a survey of illustrative procedures that deal with these topics and propose a classification that reviews the state-of-art.  ...  The objective of authors' topic detection approach is to retrieve real-time topics or the most emerging term in the community. They defined term as emerging which are frequent term but rare in past.  ... 
doi:10.5120/21578-4643 fatcat:lxdkdiibt5e6xfzvrtzmogotv4

A Momentum Theory for Hot Topic Life-cycle: A Case Study of Hot Hashtag Emerging in Twitter

Liu Wang, Xin Li, Le-Jian Liao, Li Liu
2016 International Journal of Computers Communications & Control  
Through this algorithm, we can accurately build a model for the hot topics on their emerging growing period and effectively describe the whole life circle of the topic.  ...  In this paper, a novel algorithm for calculating the hotness of topics is proposed based on momentum.  ...  Different from that model, we define hot topic emerging theory based on momentum.  ... 
doi:10.15837/ijccc.2016.5.2540 fatcat:hhlvgvdirjb3liyw5n2nogfd5u

Online Hot Topic Detection Based on Segmented Timeline and Aging Theory

Ruiguo Yu, Xiaodong Xie, Yongxing Li, Mankun Zhao, Xuyuan Dong, Muwen He
2016 International Journal of Hybrid Information Technology  
However, traditional topic detection methods are not always so effective in detecting emerging hot news topics in a short period of time, and most topic detection methods use single-pass clustering algorithm  ...  Moreover, the aging theory is combined with our approach to build life-span model of topics from which we can obtain variation trend of hotness value of topics.  ...  Based on the TF-PDF algorithm, they proposed a new hot topic detection method combining timeline analysis and multidi-mensional sentence modeling.  ... 
doi:10.14257/ijhit.2016.9.2.22 fatcat:hwfila5fmjhutheam6ukk6g6he

A new approach of ranking prevalent news topics from social media using unsupervised techniques

Dr. D. Murali, Vinutha BA
2019 International Journal Of Engineering And Computer Science  
It is necessary to find a way to filter noise, for these resources to be useful and grab the content that is depend on the similarity to news media.  ...  Finally the interconnection among the social media users who specify this topic demonstrates the power of the society who is discussing; it is termed as the user interaction (UI).  ...  Cataldi et al [5] have reported, Emerging topic detection on Twitter based on temporal and social terms evaluation, a topic detection technique that retrieves real-time emerging topics from Twitter.  ... 
doi:10.18535/ijecs/v8i07.4343 fatcat:veutczhhbnemvcbl7jppmrb4si


Vinutha B.A, Nilofer Taj, Poojitha M, Shaziya Banu A, Sindhu M
2019 International Journal of Current Engineering and Scientific Research  
It is necessary to find a way to filter noise, for these resources to be useful and grab the content that is depend on the similarity to news media.  ...  Finally the interconnection among the social media users who specify this topic demonstrates the power of the society who is discussing, it is termed as the user interaction (UI).  ...  Cataldi et al [5] have reported, Emerging topic detection on Twitter based on temporal and social terms evaluation, a topic detection technique that retrieves real-time emerging topics from Twitter.  ... 
doi:10.21276/ijcesr.2019.6.6.43 fatcat:2a7oyvrhwbfztdjku2gybhzcqq

Building a semantic recommendation engine for news feeds based on emerging topics from tweets

Mihai Tabara, Mihai Dascalu, Stefan Trausan-Matu
2016 2016 15th RoEduNet Conference: Networking in Education and Research  
The rise of social networks powered by the emergence of Web 2.0 unleashed a massive amount of generated user content.  ...  In this paper, we approach the problem of topic extraction from Twitter in the context of designing a recommendation engine to best matching user profiles to news feed articles.  ...  The authors look at the set of terms within the Twitter content to formalize a novel aging theory in order to detect the rising terms or trends. Cataldi et al.  ... 
doi:10.1109/roedunet.2016.7753209 fatcat:fywcfbdd3bdkznzhsvdiyxih3y

Beyond Social Media Analytics: Understanding Human Behaviour and Deep Emotion using Self Structuring Incremental Machine Learning [article]

Tharindu Bandaragoda
2020 arXiv   pre-print
Based on this framework two platforms were built to capture insights from fast-paced and slow-paced social data.  ...  This platform was trialled on a large text corpus of over 4 million posts collected from online support groups.  ...  New topic pathways emerge when there is a substantial public interest on a new discussion topic i.e., social media buzz.  ... 
arXiv:2009.09078v1 fatcat:izo3eyjc4vdo3jnttt7omvsv5q

Visual analytics for technology and innovation management

Kawa Nazemi, Dirk Burkhardt, Alexander Kock
2021 Multimedia tools and applications  
detection.  ...  A combination of information visualization, trend mining and interaction design can support human users to explore, detect, and identify such trends.  ...  Acknowledgements "This work was partially funded by the Hessen State Ministry for Higher Education, Research and the Arts within the program "Forschung für die Praxis" and was conducted within the research group on  ... 
doi:10.1007/s11042-021-10972-3 fatcat:l5zuc7wpfre5vnjjnthqk5smxm

Towards a user model for personalized recommendations in work-integrated learning: A report on an experimental study with a collaborative tagging system

K. Schoefegger, P. Seitlinger, T. Ley
2010 Procedia Computer Science  
We suggest to model the users' context based on the emergent topics they are dealing with and their individual current knowledge levels within these topics by extracting the necessary information from  ...  Based on data from an experiment with students learning a new topic with the help of a collaborative tagging system, we started to evaluate this approach and report on first results.  ...  The purpose of the paper at hand is to to suggest a user modeling approach for representing the users context in terms of their topics of interest and corresponding knowledge levels which is based on naturally  ... 
doi:10.1016/j.procs.2010.08.008 fatcat:hrwetbhfxzaj5pw4os6jmukjmu

Twitter is Faster

Zhengyu Deng, Ming Yan, Jitao Sang, Changsheng Xu
2015 ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)  
Traditional personalized video recommendation methods focus on utilizing user profile or user history behaviors to model user interests, which follows a static strategy and fails to capture the swift shift  ...  user and find that information emergence and propagation is also faster in social textual stream-based platforms than multimedia sharing platforms on user level.  ...  In this way, he/she chooses a bag of words one by one based on the chosen topic or the background model.  ... 
doi:10.1145/2637285 fatcat:3qcvb2vcxjebvetmjx3d6kaj54

Older persons are frailer after an emergency care visit to the out-of-hours general practitioner cooperative in the Netherlands: a cross-sectional descriptive TOPICS-MDS study

Anneke Bloemhoff, On behalf of the TOPICS-MDS Consortium, Yvonne Schoon, Kien Smulders, Reinier Akkermans, Lilian C. M. Vloet, Karin van den Berg, Sivera A. A. Berben
2020 BMC Family Practice  
A cross-sectional descriptive study design was based on data from the public data repository of The Older Persons and Informal Caregivers Survey Minimum Dataset (TOPICS-MDS).  ...  A random intercept model was utilised to test differences between groups, and adjustment factors (confounders) were used in the multilevel analysis.  ...  This study makes use of data generated by the Older Persons and Caregivers Survey Minimum Dataset (TOPICS-MDS). A full list of the investigators is available from  ... 
doi:10.1186/s12875-020-01220-y pmid:32819281 fatcat:phbejgbccjfvxa3t4znyd6bfae

Literature Survey on Interplay of Topics, Information Diffusion and Connections on Social Networks [article]

Kuntal Dey, Saroj Kaushik, L. Venkata Subramaniam
2017 arXiv   pre-print
Researchers have attempted to model information diffusion and topic trends and lifecycle on online social networks.  ...  The current article presents a survey of representative models that perform topic analysis, capture information diffusion, and explore the properties of social connections in the context of online social  ...  [Cataldi et al. 2010] propose a real-time emergent topic detection technique expressed by communities. They define a term as a topic.  ... 
arXiv:1706.00921v1 fatcat:doqorr3v2zhq5oiemm5zhlmc3u

Identifying Emerging Trends of Financial Business Method Patents

2017 Sustainability  
Based on the abstracts of financial business method patents registered at the United States Patent and Trademark Office, this study first applies latent Dirichlet allocation to identify emerging topics  ...  This study attempts to propose a framework to identify emerging areas and trends using financial business method patents.  ...  based on a hierarchical Bayesian model.  ... 
doi:10.3390/su9091670 fatcat:wap2dn3cznglhkma4die2sz36q

Large-scale analysis of grooming in modern social networks [article]

Nikolaos Lykousas, Constantinos Patsakis
2020 arXiv   pre-print
More precisely, using a dataset that we collected, we identify predatory behaviours and grooming on chats that bypassed the moderation mechanisms of the LiveMe, the service under investigation.  ...  One of the most attracting ones is streaming. Users may broadcast part of their daily lives to thousands of others world-wide and interact with them in real-time.  ...  Based on an expanded dictionary of terms they applied a rulebased approach, which categorised a post as belonging to the stage of gaining personal information, grooming (which included lowering inhibitions  ... 
arXiv:2004.08205v1 fatcat:jfpznvyr7jfc5cr2qxbjpol44m

Large Scale Linguistic Processing of Tweets to Understand Social Interactions among Speakers of Less Resourced Languages: The Basque Case

Joseba Fernandez de Landa, Rodrigo Agerri, Iñaki Alegria
2019 Information  
Second, we applied topic modelling techniques to the personal tweets to find the most popular topics according to life stages.  ...  Third, we established the relations and communities that emerge based on the retweets.  ...  Conclusions and Future Work This paper presents an approach to social research of speakers of a less resourced language based on applying Natural Language Processing and topic detection techniques to a  ... 
doi:10.3390/info10060212 fatcat:uhbdcxapzvaehftqx6zzbtnq3a
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