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Adding semantics to microblog posts

Edgar Meij, Wouter Weerkamp, Maarten de Rijke
2012 Proceedings of the fifth ACM international conference on Web search and data mining - WSDM '12  
We propose a solution to the problem of determining what a microblog post is about through semantic linking: we add semantics to posts by automatically identifying concepts that are semantically related  ...  Using a purpose-built test collection of tweets, we show that recently proposed approaches for semantic linking do not perform well, mainly due to the idiosyncratic nature of microblog posts.  ...  See http://ilps.science.uva.nl/resources/ wsdm2012-adding-semantics-to-microblog-posts/. See http://dbpedia.org/spotlight.  ... 
doi:10.1145/2124295.2124364 dblp:conf/wsdm/MeijWR12 fatcat:ux2c767q75hyzfmxd6du6r7jo4

Chinese Microblog Topic Detection through POS-Based Semantic Expansion

Lianhong Ding, Bin Sun, Peng Shi
2018 Information  
The semantic expansion of the post supplies more information and clues for topic detection. First, semantic features are extracted from a microblog post.  ...  Since traditional methods showed low performance on a short text from a microblog, we put forward a topic detection method based on the semantic description of the microblog post.  ...  If semantics are added to microblog posts through TYCCL, a post is represented as a set of feature items and their weights.  ... 
doi:10.3390/info9080203 fatcat:hwgktqt4hffq5i5ouutov2wtta

Short Paper: Annotating Microblog Posts with Sensor Data for Emergency Reporting Applications

David N. Crowley, Alexandre Passant, John G. Breslin
2011 International Semantic Web Conference  
annotations to the users post, allowing relief organisations to use any data relevant.  ...  In this paper, we propose a method for annotating microblog posts with multi-sensor data by representing it with ontologies such as SSN and SIOC.  ...  We would like to thank Fabrizio Orlandi and Myriam Leggieri for their input.  ... 
dblp:conf/semweb/CrowleyPB11 fatcat:pxzdd5xksjgwjdzbim74sqef7e

Rethinking Microblogging: Open, Distributed, Semantic [chapter]

Alexandre Passant, John G. Breslin, Stefan Decker
2010 Lecture Notes in Computer Science  
In this paper, we detail the anatomy of SMOB, a distributed semantic microblogging framework.  ...  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  ...  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

miKrow: Semantic Intra-enterprise Micro-Knowledge Management System [chapter]

Víctor Penela, Guillermo Álvaro, Carlos Ruiz, Carmen Córdoba, Francesco Carbone, Michelangelo Castagnone, José Manuel Gómez-Pérez, Jesús Contreras
2011 Lecture Notes in Computer Science  
In this paper, a lightweight framework for Knowledge Management is proposed based on the combination of two layers that cater to each need: a microblogging layer that simplifies how users interact with  ...  the whole system and a semantic powered engine that performs all the intelligent heavy lifting by combining semantic indexing and search of messages and users.  ...  This search returns messages semantically relevant to the one that the user has just posted.  ... 
doi:10.1007/978-3-642-21064-8_11 fatcat:34gdfoudfrcwtnvg5e7bo2kvxm

Linking Entities in Short Texts Based on a Chinese Semantic Knowledge Base [chapter]

Yi Zeng, Dongsheng Wang, Tielin Zhang, Hao Wang, Hongwei Hao
2013 Communications in Computer and Information Science  
We validate the proposed method by linking 1232 entities mined from Sina Weibo to a Chinese Semantic knowledge base, resulting in an accuracy of 88.5%.  ...  In this paper, we propose an entity linking method based on Chinese Semantic Knowledge where entity disambiguation can be addressed by retrieving a variety of semantic relations and analyzing the corresponding  ...  Secondly, in order to make a balance between the contents of a microblog post and the wiki page contents in the knowledge base, we attempt to make an understanding of microblog posts by adding relevant  ... 
doi:10.1007/978-3-642-41644-6_25 fatcat:qflsjc5nwjdshefovm5ebkxq2i

Mining the Personal Interests of Microbloggers via Exploiting Wikipedia Knowledge [chapter]

Miao Fan, Qiang Zhou, Thomas Fang Zheng
2014 Lecture Notes in Computer Science  
Previous studies regarded the microblogs posted by one microblogger as a whole document and adopted traditional keyword extraction approaches to select high weighting nouns without considering the characteristics  ...  Based on the semantic graph constructed via the Wikipedia, the proposed semantic spreading model (SSM) can discover and leverage the semantically related interest tags which do not occur in one's microblogs  ...  Representative platforms such as Twitter and Sina Weibo allow users to freely post 140 English characters and Chinese words respectively in one microblog.  ... 
doi:10.1007/978-3-642-54903-8_16 fatcat:56qryd4qzrbytid7evegnervpm

UWM-HBUT at TREC 2014 Microblog Track: Using Query Expansion (QE) and Event Identification Algorithm (EIA) to improve microblog retrieval effectiveness

Sukjin You, Xiangming Mu, Wei Huang
2014 Text Retrieval Conference  
This paper reports our contributions and results to TREC 2014 Microblog Track. Different from traditional web pages or database documents, microblogs have their own unique features.  ...  There are 55 search topics and the data set contains a total of 243 million tweets provided by the TREC 2014 Microblog Track. Our initial results indicated that QE helped to improve the performance.  ...  The 2014 Microblog Track has two tasks: temporally-anchored ad hoc retrieval and tweet timeline generation (TTG) .  ... 
dblp:conf/trec/YouMH14 fatcat:j77owohlgncfthi66qfdqk6kru

Foreword to the Special Issue: "Semantics for Big Data Integration"

Domenico Beneventano, Maurizio Vincini
2019 Information  
by examining the challenges and opportunities arising from adapting and transferring semantic technologies to the big data context.  ...  Indeed, the problems of variety, velocity, and veracity are equally important in dealing with the heterogeneity, diversity, and complexity of data, where semantic technologies can be explored to deal with  ...  proposed method is based on the semantic expansion of the microblog post according to a thesaurus and on clustering techniques for topic detection.  ... 
doi:10.3390/info10020068 fatcat:whjdf63ypzb7joy62mrb2ft7xa

Ubiquitous Microblogging: A Flow-Based Front-End for Information Logistics [chapter]

Martin Böhringer, Martin Gaedke
2010 Lecture Notes in Business Information Processing  
Beyond the Web 2.0 tool family, in particular microblogging could show a perfect match with Information Logistics scenarios due to its adhoc character and its simplicity.  ...  To allow ordinary users to participate, there is a clear need for simple but yet powerful front-end technology.  ...  An alternative to semantic markup of microblogging postings is to understand the meanings of natural language using Natural Language Processing (NLP).  ... 
doi:10.1007/978-3-642-15402-7_22 fatcat:j6bvxmogz5denfumnnvr2dfwne

Using Event Identification Algorithm (EIA) to Improve Microblog Retrieval Effectiveness

Sukjin You, Wei Huang, Xiangming Mu
2015 2015 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT)  
This paper reports our contributions and results to TREC 2014 Microblog Track. Different from traditional web pages or database documents, microblogs have their own unique features.  ...  There are 55 search topics and the data set contains a total of 243 million tweets provided by the TREC 2014 Microblog Track. Our initial results indicated that QE helped to improve the performance.  ...  The 2014 Microblog Track has two tasks: temporally-anchored ad hoc retrieval and tweet timeline generation (TTG) .  ... 
doi:10.1109/wi-iat.2015.215 dblp:conf/webi/YouHM15 fatcat:uy2anhvlvbcihkjvkxhzyblngy

COVID-19 Tweets Textual Analytics Using Machine Learning Classification for Fear Sentiment

2020 International Journal of Advanced Trends in Computer Science and Engineering  
In order to increase user accessibility it present to aggregator related COVID-19 microblogging message into the cluster and automatically allocate them semantically meaningful labels.  ...  associations providing solution to this problem it suggest a novel framework for organizing unstructured COVID-19 microblogging messages by transforming them into semantically structured representation  ...  Sentiment Analysis Microblogging website has develop to become a origin assorted kinds of information expected to nature of microblogs on which people post real time messages, about their judgement on  ... 
doi:10.30534/ijatcse/2020/221952020 fatcat:tvlslsmkubfsnnbov7ox3pmma4

Microblog-HAN: A micro-blog rumor detection model based on heterogeneous graph attention network

Bei Bi, Yaojun Wang, Haicang Zhang, Yang Gao, Sathishkumar V E
2022 PLoS ONE  
Moreover, semantic-level attention fuses different semantics to obtain the final node embedding of the microblog, which is then used as a classifier's input.  ...  Specifically, after the initial textual and visual features of posts are extracted, the node-level attention mechanism combines neighbors of the microblog nodes to generate three groups of node embeddings  ...  Still, these methods seldomly consider the multimedia form of a microblog and fail to explore the semantic information of microblog information's spreading path fully.  ... 
doi:10.1371/journal.pone.0266598 pmid:35413070 pmcid:PMC9004763 fatcat:wcuiz6dqpjhxtijsphw7ngk3ma

Learning to Rank Microblog Posts for Real-Time Ad-Hoc Search [chapter]

Jing Li, Zhongyu Wei, Hao Wei, Kangfei Zhao, Junwen Chen, Kam-Fai Wong
2015 Lecture Notes in Computer Science  
We combine content-based, microblog-specific and temporal features into learning to rank models, which are found to model microblog posts effectively.  ...  In the era of Big Data, we are overwhelmed by the large amount of microblog posts. To make good use of these informative data, an effective search tool is required specialized for microblog posts.  ...  In the future, we will take the semantic information inside the query term and microblog posts content into consideration.  ... 
doi:10.1007/978-3-319-25207-0_40 fatcat:nigfqigdjveztot4bujvpzhgqa

MIKE: An Interactive Microblogging Keyword Extractor using Contextual Semantic Smoothing

Osama Khan, Asim Karim
2012 International Conference on Computational Linguistics  
In this paper we present MIKE, a robust interactive system for keyword extraction from single microblog posts, which uses contextual semantic smoothing; a novel technique that considers term usage patterns  ...  Social media, such as tweets on Twitter and Short Message Service (SMS) messages on cellular networks, are short-length textual documents (short texts or microblog posts) exchanged among users on the Web  ...  Due to the short length of microblog posts, we assume the co-occurrence window size to be the document length.  ... 
dblp:conf/coling/KhanK12 fatcat:eyckgfzmbjfspdst7ceozmlx7e
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