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Topical semantics of twitter links

Michael J. Welch, Uri Schonfeld, Dan He, Junghoo Cho
2011 Proceedings of the fourth ACM international conference on Web search and data mining - WSDM '11  
of:  In Twitter: user A follows user B  Endorsement of quality of/interest in user B  Also: A as a reader is interested in B as a writer Link Semantics  User A re-tweets user B  Endorsement of quality  ...  analysis of the two rankings:  Follow links capture the quality of a user being popular or well known  Re-tweet links capture the quality of being influential or producing newsworthy/topically  ... 
doi:10.1145/1935826.1935882 dblp:conf/wsdm/WelchSHC11 fatcat:c2sbwibpcza6phnv4etfjpntcm

Semantic Enrichment of Twitter Posts for User Profile Construction on the Social Web [chapter]

Fabian Abel, Qi Gao, Geert-Jan Houben, Ke Tao
2011 Lecture Notes in Computer Science  
Given the variety and recency of topics people discuss on Twitter, semantic user profiles generated from Twitter posts moreover promise to be beneficial for other applications on the Social Web as well  ...  We introduce and analyze methods for linking Twitter posts with related news articles in order to contextualize Twitter activities.  ...  This observation motivates our idea of linking Twitter activities with news articles to automatically capture and enrich the semantics of microblogging activities.  ... 
doi:10.1007/978-3-642-21064-8_26 fatcat:sqgr3l2od5ab7idofzqfytd3ze

Analyzing User Modeling on Twitter for Personalized News Recommendations [chapter]

Fabian Abel, Qi Gao, Geert-Jan Houben, Ke Tao
2011 Lecture Notes in Computer Science  
In this paper we investigate this question and introduce a framework for user modeling on Twitter which enriches the semantics of Twitter messages (tweets) and identifies topics and entities (e.g. persons  ...  We analyze how strategies for constructing hashtag-based, entity-based or topic-based user profiles benefit from semantic enrichment and explore the temporal dynamics of those profiles.  ...  By enriching the tweets with topics inferred from the linked news articles we better understand the semantics of Twitter messages and succeed in creating more valuable topic-based profiles for 99.4% of  ... 
doi:10.1007/978-3-642-22362-4_1 fatcat:xxn23bkzrfgrldydnolvbpnjru

TUMS: Twitter-Based User Modeling Service [chapter]

Ke Tao, Fabian Abel, Qi Gao, Geert-Jan Houben
2012 Lecture Notes in Computer Science  
It features topic detection and entity extraction for tweets and allows for further enrichment by linking tweets to news articles that describe the context of the tweets.  ...  As people discuss various fresh topics, Twitter messages (tweets) can tell much about the current interests and concerns of a user.  ...  In particular, profiles are enriched with entities and topics extracted from news articles that are linked with Twitter messages.  ... 
doi:10.1007/978-3-642-25953-1_22 fatcat:tvrmvgkyvvbxxc4kjnjem5hzki

S&P360: Multidimensional Perspective on Companies from Online Data Sources [chapter]

Michele Berlingerio, Stefano Braghin, Francesco Calabrese, Cody Dunne, Yiannis Gkoufas, Mauro Martino, Jamie Rasmussen, Steven Ross
2015 Lecture Notes in Computer Science  
For Wikipedia, we link companies if the wiki page of one had the other as an external link. In Twitter, we link companies mentioned together and weight by the number of such tweets.  ...  We used MALLET (mallet.cs.umass.edu/topics-devel.php) as it provides a well established set of tools and links topics back to source documents. Anti-Spam Filtering.  ... 
doi:10.1007/978-3-319-23461-8_39 fatcat:oneivjdupbeujcwte67hb2goza

Semantics + filtering + search = twitcident. exploring information in social web streams

Fabian Abel, Claudia Hauff, Geert-Jan Houben, Richard Stronkman, Ke Tao
2012 Proceedings of the 23rd ACM conference on Hypertext and social media - HT '12  
In this paper, we engineer and evaluate solutions that analyze the semantics of Social Web data streams to solve these challenges.  ...  It enriches the semantics of streamed messages to profile incidents and to continuously improve and adapt the information filtering to the current temporal context.  ...  Figure 6 : 6 Impact of link-based semantic enrichment: the histogram shows the fraction of Twitter messages that feature at least y facet-value pairs (FVPs) for (i) semantic enrichment solely on tweets  ... 
doi:10.1145/2309996.2310043 dblp:conf/ht/AbelHHST12 fatcat:kukgxwqqynd4bgwopgpr6zi4gy

Linked Open Social Signals

Pablo N. Mendes, Alexandre Passant, Pavan Kapanipathi, Amit P. Sheth
2010 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology  
In this paper we discuss the collection, semantic annotation and analysis of real-time social signals from microblogging data.  ...  We define an architecture that is based on state-ofthe-art Semantic Web technologies and a distributed publishsubscribe protocol for real time communication.  ...  Prasad, Harshal Patni and the Sensor Web team for allowing us to use their servers for the development of the software used in this project.  ... 
doi:10.1109/wi-iat.2010.314 dblp:conf/webi/MendesPKS10 fatcat:okxqn5f75zhvtck4y5ncc4aqvm

Semantic Linking and Contextualization for Social Forensic Text Analysis

Zhaochun Ren, David van Dijk, David Graus, Nina van der Knaap, Hans Henseler, Maarten de Rijke
2013 2013 European Intelligence and Security Informatics Conference  
In this paper, we report on our recent work related to semantic search in e-discovery and propose the use of entity and topic extraction for social media text analysis.  ...  is used for semantically enriching information in a social media context.  ...  Twitter-LDA (TLDA) [8] classifies topics into private topics and background topic by introducing one binomial distribution.  ... 
doi:10.1109/eisic.2013.21 dblp:conf/eisic/RenDGKHR13 fatcat:sc7t47wjwzfibhx7ra3lrgtx54

Assessment of Effectiveness of Content Models for Approximating Twitter Social Connection Structures [article]

Kuntal Dey and Sahil Agrawal and Rahul Malviya and Saroj Kaushik
2016 arXiv   pre-print
Impact of content at varying granularities, for the purpose of predicting links while retaining the social community structures, was investigated. 100 discussion topics, spanning over 10 Twitter events  ...  This paper explores the social quality (goodness) of community structures formed across Twitter users, where social links within the structures are estimated based upon semantic properties of user-generated  ...  [11] predicts links based upon semantic content. [12] studies language-based conversation modeling of Twitter users.  ... 
arXiv:1605.09338v2 fatcat:2qpcvdu5arbwbbl2xkmharp2dq

TwikiMe! - User Profiles That Make Sense

Patrick Siehndel, Ricardo Kawase
2012 International Semantic Web Conference  
The use of social media has been rapidly increasing in the last years. Social media, such as Twitter, has become an important source of information for a variety of people.  ...  Link prediction, user classification and community detection are some of the main research areas related to social networks.  ...  Given Twitter users streams, we annotate all tweets to detect any mention of entities that can be linked to Wikipedia articles.  ... 
dblp:conf/semweb/SiehndelK12 fatcat:v4jyhvpqajeehibmcilj64xggi

Making sense of social media streams through semantics: A survey

Kalina Bontcheva, Dominic Rout
2014 Semantic Web Journal  
This paper defines five key research questions in this new application area, examined through a survey of state-of-the-art approaches for mining semantics from social media streams; user, network, and  ...  The survey includes key methods not just from the Semantic Web research field, but also from the related areas of natural language processing and user modelling.  ...  of Twitter and Facebook messages and for proof-reading the paper.  ... 
doi:10.3233/sw-130110 fatcat:uytdbegs3ngcbpu62i4trrxjni

Linked Knowledge Sources for Topic Classification of Microposts: A Semantic Graph-Based Approach

Andrea Varga, Amparo E. Cano, Matthew Rowe, Fabio Ciravegna, Yulan He
2014 Social Science Research Network  
In contrast our approach relies on the generation of different weighted semantic meta-graphs extracted from linked KSs. We introduce a new semantic graph, called category meta-graph.  ...  Extensive evaluation in the context of Emergency Response (ER) and Violence Detection (VD) revealed that our approach outperforms previous approaches using single KS without linked data and Twitter data  ...  Twitter data, serving as a proxy for the performance of a topic classifier on Twitter data.  ... 
doi:10.2139/ssrn.3199099 fatcat:2febxkwyfbc6jisntu24z4ro3a

Linked knowledge sources for topic classification of microposts: A semantic graph-based approach

Andrea Varga, Amparo Elizabeth Cano Basave, Matthew Rowe, Fabio Ciravegna, Yulan He
2014 Journal of Web Semantics  
In contrast our approach relies on the generation of different weighted semantic meta-graphs extracted from linked KSs. We introduce a new semantic graph, called category meta-graph.  ...  Extensive evaluation in the context of Emergency Response (ER) and Violence Detection (VD) revealed that our approach outperforms previous approaches using single KS without linked data and Twitter data  ...  Twitter data, serving as a proxy for the performance of a topic classifier on Twitter data.  ... 
doi:10.1016/j.websem.2014.04.001 fatcat:64qvdi3snramrovjqhxuimcpwe

Extracting Semantic Knowledge from Twitter [chapter]

Peter Teufl, Stefan Kraxberger
2011 Lecture Notes in Computer Science  
Tweets are messages with a maximum number of 140 characters and cover all imaginable stories ranging from simple activity updates over news coverage to opinions on arbitrary topics.  ...  In order to highlight the benefits of semantic knowledge extraction for Twitter related e-Participation projects, we apply the presented technique to Tweets covering the protests in Egypt starting at January  ...  continuous coverage of arbitrary topics, we see Twitter as The Online Presence of our Society that contains knowledge about arbitrary topics.  ... 
doi:10.1007/978-3-642-23333-3_5 fatcat:hejazsuazfgzlbjm43me6jv2cq

Modeling Temporal Dynamics of User Interests in Online Social Networks

Bo Jiang, Ying Sha
2015 Procedia Computer Science  
To this end, we first formulate the user interests problem, then adopt semantic enrichment method to determine user interests, and finally employ the topic hierarchy tree model to capture user interests  ...  , is more likely to keep up with hot topics or events in the moment.  ...  However, the semantics of the tweet can be understood by following the link posted in the tweet.  ... 
doi:10.1016/j.procs.2015.05.275 fatcat:z5dhkc6akfe7dayttx2jpdufoe
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