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Adaptive association rule mining for web video event classification

Chengde Zhang, Xiao Wu, Mei-Ling Shyu, Qiang Peng
2013 2013 IEEE 14th International Conference on Information Reuse & Integration (IRI)  
Nevertheless, the insufficient and noisy text information has made it difficult and challenging to mine the events based on the initial keywords and visual features.  ...  Due to the popularity and development of social networks and web video sites, we have witnessed an exponential growth in the volumes of web videos in the last decade.  ...  In our proposed framework, an adaptive association rule mining method is first developed to address the issues related to the noisy data and the scarce textual information.  ... 
doi:10.1109/iri.2013.6642526 dblp:conf/iri/ZhangWSP13 fatcat:3r5kxlp7qvccpamtwugvxtqssm

Organizing Independent Activity in EFL Teaching in Ethnically Diverse Classrooms at the University of the Coal Mining Region

Tatyana Sergeichik, Oksana Greenwald, S. Vöth, M. Cehlár, J. Janocko, M. Straka, D. Nuray, D. Szurgacz, M. Petrova, Y. Tan, A. Abay
2020 E3S Web of Conferences  
Kemerovo State University provides training of specialists for the coal mining region in Russia. Nowadays, the University tends to increase the proportion of foreign students as well.  ...  Among the forms of independent activity, we introduced independent reading, preparing thematic presentations, written tasks based on video content, and writing thematic essays.  ...  One more typical feature of foreign language learning at the university is, unfortunately, scarce written activities. This is due not only to a higher motivation for speaking in the modern world.  ... 
doi:10.1051/e3sconf/202017404050 fatcat:kqkaxc4owzfblibzdkhfwznppq

What to Reuse?: A Probabilistic Model to Transfer User Annotations in a Surveillance Video

Omar Florez, Curtis Dyreson, Junaith Shahabdeen
2013 2013 IEEE 16th International Conference on Computational Science and Engineering  
This problem is exacerbated when new domains continuously arise (e.g., in the real-time processing of video) and user annotations are only limited to training data, a common scenario for surveillance video  ...  Two domains that are similar will share a large number of observable features.  ...  Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.  ... 
doi:10.1109/cse.2013.17 dblp:conf/cse/FlorezDS13 fatcat:fzpjvsvtpfe4pfo25ayniggzce

Computational Models for Social and Technical Interactions

João Gama, Eugénio Oliveira, Henrique Lopes Cardoso
2017 New generation computing  
We interact with algorithms for decision support in our daily activities. Typically, these systems used to act in silence.  ...  upon their publication, when social feedback is unavailable or scarce.  ...  The paper, Tensor Based Shot Boundary Detection in Video Streams by Boguslaw Cyganek and Michal Wozniak, presents a method for content change detection of multi-dimensional video signals.  ... 
doi:10.1007/s00354-017-0026-y fatcat:mw6z7v5fxfclrnohcas7qe7xri

Opinion Stream Mining [chapter]

Myra Spiliopoulou, Eirini Ntoutsi, Max Zimmermann
2016 Encyclopedia of Machine Learning and Data Mining  
Opinion stream mining aims at learning and adaptation of a polarity model over a stream of opinionated documents, i.e., documents associated with a polarity.  ...  In this chapter, we overview methods for polarity learning in a stream environment focusing especially on how these methods deal with the challenges imposed by the stream nature of the data, namely the  ...  Further, clustering is not the only way of identifying properties/topics: aspect-based opinion mining is a subdomain of topic modeling (cf. lemma Topic Models for NLP Applications for the general domain  ... 
doi:10.1007/978-1-4899-7502-7_905-1 fatcat:d2fgtvgjzbhz7pkmt44amrfpmy

Mining Social Media for Newsgathering: A Review [article]

Arkaitz Zubiaga
2019 arXiv   pre-print
In this paper, we provide an overview of research in data mining and natural language processing for mining social media for newsgathering.  ...  Social media is becoming an increasingly important data source for learning about breaking news and for following the latest developments of ongoing news.  ...  These recommendations can however be personalised, especially for journalists who cover specific subjects or types of journalism. Work in this direction is scarce.  ... 
arXiv:1804.03540v2 fatcat:s4ia7c5hfjbvzp3nxjiicnnfde

Mining social media for newsgathering: A review

Arkaitz Zubiaga
2019 Online Social Networks and Media  
In this paper, we provide an overview of research in data mining and natural language processing for mining social media for newsgathering.  ...  Social media is becoming an increasingly important data source for learning about breaking news and for following the latest developments of ongoing news.  ...  These recommendations can however be personalised, especially for journalists who cover specific subjects or types of journalism. Work in this direction is scarce.  ... 
doi:10.1016/j.osnem.2019.100049 fatcat:dt63zddmqba7vc47cyjve37i5q

Decoding data analytics capabilities from topic modeling on press releases

JeanCarlo Bonilla, Bharat Rao
2015 2015 Portland International Conference on Management of Engineering and Technology (PICMET)  
In their quest for data-driven insight, firms align their resources to produce information that is actionable.  ...  We explore 8-year historical press releases and apply Latent Dirichlet Allocation topic modeling to 273 press releases.  ...  CONCLUSION & RECOMMENDATIONS FOR FURTHER RESEARCH In this paper, we explored the use of text mining and topical modeling applied to press releases as a method to decode organizational capabilities around  ... 
doi:10.1109/picmet.2015.7273249 fatcat:n74c76fmarab5iqdrir4sorklq

Hammer PDF: An Intelligent PDF Reader for Scientific Papers [article]

Sheng-Fu Wang, Shu-Hang Liu, Tian-Yi Che, Yi-Fan Lu, Song-Xiao Yang, Heyan Huang, Xian-Ling Mao
2022 arXiv   pre-print
Specifically, taking a paper as a whole, these PDF Readers cannot access extended information of the paper, such as related videos, blogs, codes, etc.; meanwhile, for the content of a paper, these PDF  ...  Beyond basic reading functions, Hammer PDF comes with four innovative features: (1) locate, mark and interact with spans (e.g., terms) obtained by information extraction; (2) citation, reference, code,  ...  These extended information and academic details are indispensable for researchers to improve the efficiency and understand the paper's topic.  ... 
arXiv:2204.02809v1 fatcat:a3hdav5npbbs5k2ssk2uacurxy

Knowledge Transfer across Multilingual Corpora via Latent Topics [chapter]

Wim De Smet, Jie Tang, Marie-Francine Moens
2011 Lecture Notes in Computer Science  
Specifically, we propose a unified probabilistic model to simultaneously model latent topics from bilingual corpora that discuss comparable content and use the topics as features in a cross-lingual, dictionary-less  ...  classification knowledge to other languages, for which no labeled training data are available.  ...  Latent Dirichlet Allocation Recently, probabilistic topic models attracted considerable interest and have been successfully applied to text mining tasks such as information retrieval, recommendation, and  ... 
doi:10.1007/978-3-642-20841-6_45 fatcat:75nuuftzqbaprmiz3n3giusdwi

Knowledge Extraction from Open Data Repository [chapter]

Vijayalakshmi Kakulapati
2021 Open Data [Working Title]  
Firstly, we propose a novel query recommender system to help users shorten their query sessions.  ...  The proposed model, based on pseudo-relevance feedback, formalizes exploiting the knowledge mined from query logs to help users rapidly satisfy their information need.  ...  data (images, videos, and their explanations multi-channel handling data).  ... 
doi:10.5772/intechopen.100234 fatcat:jwp4wewyk5fdfh6cg73qdxztyi

Business Intelligence and Analytics

Ee-Peng Lim, Hsinchun Chen, Guoqing Chen
2013 ACM Transactions on Management Information Systems  
For each research direction, we will also determine a few important questions to be addressed in future research.  ...  The new insights can be used for improving products and services, achieving better operational efficiency, and fostering customer relationships.  ...  topic for the next few years.  ... 
doi:10.1145/2407740.2407741 fatcat:enjlhfzqfnfqvlv63axun5dvee

Knowledge Discovery from Large Amounts of Social Media Data

Loris Belcastro, Riccardo Cantini, Fabrizio Marozzo
2022 Applied Sciences  
social media discussion topics through a hashtag recommendation system.  ...  : (i) an automatic application for discovering user mobility patterns, (ii) a novel application for estimating the political polarization of public opinion, and (iii) an application for discovering interesting  ...  Lastly, about topic discovery, we present HAshtag recommendation using Sentence-to-Hashtag Embedding Translation (HASHET), a model for recommending a set of hashtags that are suitable for a given post.  ... 
doi:10.3390/app12031209 fatcat:wsbkrhpqnzgdjlomas5cxmdhtm

Report on the Eighth Workshop on Exploiting Semantic Annotations in Information Retrieval (ESAIR '15)

Krisztian Balog, Jeffrey Dalton, Antoine Doucet, Yusra Ibrahim
2016 SIGIR Forum  
The workshop also featured invited talks from leaders in the field. This report presents an overview of the event and its major outcomes.  ...  We would also like to thank CIKM for hosting the workshop.  ...  Acknowledgements We are grateful for the generous support we have received from Google, Inc. Google sponsored the Best Demonstration Award and the social event.  ... 
doi:10.1145/2964797.2964806 fatcat:hdf2qeipsbc4haoaqnf4qvw4q4

Leveraging Social Computing for Personalized Crisis Communication using Social Media

Dmitry Leykin, Limor Aharonson-Daniel, Mooli Lahad
2016 PLOS Currents  
The current review presents a conceptual framework for studying psychological aspects of crisis and risk communication using the social media through social computing.  ...  The review suggests that using advanced computational tools for target-audience profiling and linguistic matching in social media, can facilitate more sensitive and personalized emergency communication  ...  computed based on message and user based features), and propagation-based features (e.g. depth of a retweet in the network of message spread, initial tweets per topic).  ... 
doi:10.1371/currents.dis.b2c5870adf1b7a77af82e7d5552aabe7 pmid:27092290 pmcid:PMC4821767 fatcat:hm773iwsorbfla5yrjhw3mkddq
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