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Extracting topics based on authors, recipients and content in microblogs

Nazneen Fatema N. Rajani, Kate McArdle, Jason Baldridge
2014 Proceedings of the 37th international ACM SIGIR conference on Research & development in information retrieval - SIGIR '14  
Our results show that the Author-Recipient-Topic model extracts the most coherent topics establishing that joint modeling on author-recipient pairs and on the content of tweet leads to quantitatively better  ...  In this paper, we demonstrate the application of the Author-Topic and the Author-Recipient-Topic model to microblogs. We extensively compare these models under different settings to an LDA baseline.  ...  Thus, topic assignment in the ART model is based on the document's authors, recipients, and word token content.  ... 
doi:10.1145/2600428.2609537 dblp:conf/sigir/RajaniMB14 fatcat:mk562jwyo5etrcetceppsvb52q

Enriching employee ontology for enterprises with knowledge discovery from social networks

Hao Wu, Charalampos Chelmis, Vikram Sorathia, Yinuo Zhang, Om Prasad Patri, Viktor K. Prasanna
2013 Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining - ASONAM '13  
In this paper, we propose an employee ontology that integrates user static properties from formal structures with dynamic interests and expertise extracted from informal communication signals.  ...  We mine user's interests at both personal and professional level from informal interactions on communication platforms at the workplace. We show how complex semantic queries enable granular analysis.  ...  In our study, we adopt the Author-Recipient Topic model (ART [15] ) to discover topics in messages posted by employees in the internal enterprise microblogging service.  ... 
doi:10.1145/2492517.2500253 dblp:conf/asunam/WuCSZPP13 fatcat:tbjyikzdbvgkdeopoe4ct4h4zq

Information propagation in microblog networks

Chenyi Zhang, Jianling Sun, Ke Wang
2013 Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining - ASONAM '13  
We then present two methods for estimating the propagation probability based on the topic relevance between a link and the target message.  ...  This problem differs from the traditional influence maximization in two major ways: it has a content-rich target message for propagation and it treats each link in the network as communication on certain  ...  Topic Modeling Probabilistic topic models such as LDA were introduced by [6] . [10] presented the Author-Recipient-Topic (ART) model to learn the distribution specific to author-recipient pairs.  ... 
doi:10.1145/2492517.2492608 dblp:conf/asunam/ZhangSW13 fatcat:6ab5qtacpfartlpjmcpmwqninu

A semi-supervised method for topic extraction from micro postings

Georg Fuchs, Hendrik Stange, Ahmad Samiei, Gennady Andrienko, Natalia Andrienko
2015 it - Information Technology  
AbstractSocial networking services have become a major channel for the digital society to share content, opinions, experiences on activities or events, as well as on products, services and brands.  ...  Typically, the human analyst needs to be actively involved during extraction and modeling to resolve ambiguities that will inevitable arise in such data and to put the model into context.  ...  for lack of contextual content in Twitter and other microblogging data.  ... 
doi:10.1515/itit-2014-1078 fatcat:jzfp2bc6tbbknncehxxi2o7yjm

Rethinking Microblogging: Open, Distributed, Semantic [chapter]

Alexandre Passant, John G. Breslin, Stefan Decker
2010 Lecture Notes in Computer Science  
There needs to be a focus on the one hand on distributed architectures -so that users remain owners of their data -and on the other hand on means to semantically-enhance their content -so that it becomes  ...  In this paper, we detail the anatomy of SMOB, a distributed semantic microblogging framework.  ...  We would like to thanks Uldis Bojārs and Tuukka Hastrup for their involvement in SIOC and in the first version of SMOB as well as Milan Stankovic and Philippe Laublet for their work on OPO.  ... 
doi:10.1007/978-3-642-13911-6_18 fatcat:e3bsymxqtfffnazkav5lonlo3y

An Overview of Topic Discovery in Twitter Communication through Social Media Analytics

Andrey Chinnov, Pascal Kerschke, Christian Meske, Stefan Stieglitz, Heike Trautmann
2015 Americas Conference on Information Systems  
However, conventional topic discovery methods, which are widely used in large text corpora, face several challenges when they are applied in social media and particularly in Twitterthe most popular microblogging  ...  Social media provide us with a great pool of user generated content, where topic discovery may be extremely useful for businesses, politicians, researchers, and other stakeholders.  ...  The three major TMN tasks formulated by the authors are: (1) topic extraction, (2) topic map extraction, and (3) topical community discovery.  ... 
dblp:conf/amcis/ChinnovKMST15 fatcat:stxgjlcvvfbg3nwrtvz53zsg54

The Role of Microblogging Capacities in Knowledge Sharing and Collaboration in Virtual Teams

Simon Cleveland, Timothy J. Ellis
2015 Americas Conference on Information Systems  
To narrow the research gap, this study explores five potential microblogging capacities, and proposes a model to test the impacts of these factors on employees' attitudes to share knowledge.  ...  Specifically, the study identifies microblogging ubiquity, brevity, communication, subscription, and source identity and suggests these may positively influence knowledge sharing attitudes in virtual teams  ...  The Role of Microblogging Capacities for Knowledge Sharing and Collaboration in Virtual Teams Twenty First Americas Conference on Information Systems, Puerto Rico, 2015 8  ... 
dblp:conf/amcis/ClevelandE15 fatcat:etoif3gmnbgrveq2a3fip3qpvu

Network Structure and Community Evolution Online: Behavioral and Emotional Changes in Response to COVID-19

Fan Fang, Tong Wang, Suoyi Tan, Saran Chen, Tao Zhou, Wei Zhang, Qiang Guo, Jianguo Liu, Petter Holme, Xin Lu
2022 Frontiers in Public Health  
Additionally, the similarity of topics discussed on Weibo increased during the local peak of the epidemic.  ...  The number of unique recipients, average degree, and transitivity increased by 24, 23, and 19% during the severe stage than before the outbreak, respectively.  ...  High-Frequency Keywords Figure 2 plots the sunburst chart based on the high-frequency keywords extracted from the Weibo content of four stages.  ... 
doi:10.3389/fpubh.2021.813234 pmid:35087790 pmcid:PMC8787074 fatcat:srwippl7fvap5k3gwzj6aq4mxi

MULTI-STRATEGY SENTIMENT ANALYSIS OF CONSUMER REVIEWS WITH PARTIAL PHRASE MATCHING

M.Phil R.Navin Kumar M.C.A., S.Sneha
2022 Zenodo  
Since Internet has become an excellent source of consumer reviews, the area of sentiment analysis (also called sentiment extraction, opinion mining, opinion extraction, and sentiment mining) has seen a  ...  In the sentiment analysis, many strategies and techniques were used, such as machine learning, polarity lexicons, natural language processing, and psychometric scales, which determine different types of  ...  The massive amount of microblogging data is a useful and timely source that carries mass sentiment and opinions on various topics.  ... 
doi:10.5281/zenodo.6410034 fatcat:bwt7hjsbkzcvjn3egegmytc4hi

Social Media Systems in the Workplace: Toward Understanding Employee Knowledge Creation via Microblogging within Shared Knowledge Domains

Simon Cleveland
2016 Informatics  
of the SMS, and of microblogging platform in particular, facilitate the knowledge creation processes.  ...  It expands the scope and theoretical framework of prior research on microblogging for knowledge sharing [17] , microblogging influence on users' attitudes toward knowledge sharing [18] , and microblogging  ...  Based on the discussed propositions, the following model is developed to explain the microblogging corporate knowledge creation (Figure 2 ). microblogging depends on the use of proper content tagging  ... 
doi:10.3390/informatics3030011 fatcat:gpm2xwuxbbc6hkd2msqubukyk4

The Survey of Sentiment and Opinion Mining for Behavior Analysis of Social Media

Saqib Iqbal, Ali Zulqurnain, Yaqoob Wani, Khalid Hussain
2015 International Journal of Computer Science & Engineering Survey  
The comprehensive analysis of the methods which are used on user behavior prediction is presented in this paper.  ...  This comparison will provide a detailed information, pros and cons in the domain of sentiment and opinion mining.  ...  towards others in threaded base communication.  ... 
doi:10.5121/ijcses.2015.6502 fatcat:wo2ulnwlwjhbrdvx2xn22a6zci

What Causes Different Sentiment Classification on Social Network Services? Evidence from Weibo with Genetically Modified Food in China

Youzhu Li, Xianghui Gao, Mingying Du, Rui He, Shanshan Yang, Jason Xiong
2020 Sustainability  
data from Sina Weibo (microblog), one of the biggest social network services (SNS) in China.  ...  characteristics, and the comment characteristics have different degrees of influence on the user's emotional distribution. (4) Conclusion Practical implications and conclusions are provided based on the  ...  Acknowledgments: We would like to acknowledge reviewers for all the valuable comments and recommendations. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/su12041345 fatcat:4tdvwql2hnbkhgsecexck6uuzu

Contributive Social Capital Extraction From Different Types of Online Data Sources [article]

Sebastian Schams, Georg Groh
2019 arXiv   pre-print
The findings are compared and set in context to contributive social capital extraction.  ...  The discussion of these methods is intended to facilitate research on the topic by identifying relevant data sources and the best suited algorithms, and by providing tested methods for the evaluation of  ...  of authors, papers, affiliations and publishing venues) combined with content-based analysis, -Heterogeneous PageRank model, -Topical PageRank model.  ... 
arXiv:1902.07636v1 fatcat:n34kktfxrvarfkfzx34z2ywfdm

Embracing Information Explosion without Choking: Clustering and Labeling in Microblogging

Xia Hu, Lei Tang, Huan Liu
2015 IEEE Transactions on Big Data  
The experimental results on Twitter and Facebook datasets demonstrate the superior performance of our framework in handling noisy and short microblogging messages.  ...  In this paper, we present a text representation framework by harnessing the power of semantic knowledge bases, i.e., Wikipedia and Wordnet.  ...  ACKNOWLEDGMENTS This material is based upon work supported by, or in part by, the National Science Foundation (NSF) under grant number IIS-1217466, and the Office of Naval Research (ONR) under grant number  ... 
doi:10.1109/tbdata.2015.2451635 fatcat:7cnrw56wyzg63btayc2stti36e

Online Social Networks Event Detection: A Survey [chapter]

Mário Cordeiro, João Gama
2016 Lecture Notes in Computer Science  
Moreover, network analysis algorithms used to extract knowledge from users relations and interactions were not designed to handle evolutionary networks of such order of magnitude in terms of the number  ...  on the computational complexity and required execution time per document analysis.  ...  Acknowledgements This work was supported by national funds, through the Portuguese funding agency, Fundação para a Ciência e a Tecnologia (FCT), and by European Commission through the project MAESTRA (  ... 
doi:10.1007/978-3-319-41706-6_1 fatcat:zdoso55jzjbypkye7w3uozcjce
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