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Improving Situational Awareness for Precursory Data Classification using Attribute Rough Set Reduction Approach

Pushan Kumar Dutta, O. P. Mishra, M.K. Naskar
2013 International Journal of Information Technology and Computer Science  
This paper proposes a framework for extracting, classifying, analyzing, and presenting semi-structured catalog data sources through feature representation and selection.  ...  We have designed using a relational database for running a geophysical modeling application after connecting database record of all clusters of foreshock events from (1998-2010) for a complete catalog  ...  The need for an real time dynamic resource description framework is needed to implement our classification tree.  ... 
doi:10.5815/ijitcs.2013.12.06 fatcat:2xncin5swbbh3auteqn7dmji4a

Exploring the Potential of Twitter to Understand Traffic Events and Their Locations in Greater Mumbai, India

Rahul Deb Das, Ross S. Purves
2019 IEEE transactions on intelligent transportation systems (Print)  
However, such tweets are informal and noisy and containing vernacular geographical information making the location retrieval task challenging.  ...  While extracting location information, a hybrid georeferencing model consists of a supervised learning algorithm and a number of spatial rules outperforms other models.  ...  ACKNOWLEDGMENT The authors would like to thank the reviewers for their insightful comments, which improved the clarity of the article.  ... 
doi:10.1109/tits.2019.2950782 fatcat:3qv44yed3badhjsfbqtylssijm

Social networking data analysis tools & challenges

Androniki Sapountzi, Kostas E. Psannis
2018 Future generations computer systems  
In response to this chaotic emerging science of social data, this paper provides a sophisticated classification of state-of the-art frameworks considering the diversity of practices, methods and techniques  ...  The unfolding of every event, breaking new or trend flows in real time inside OSN triggering a surge of opinionated networked content.  ...  Deep learning methods learn sentiment representations from a large corpus of labeled and unlabeled text for sentiment analysis of short texts.  ... 
doi:10.1016/j.future.2016.10.019 fatcat:cqlp423pv5heplujb63qo7c6yq

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

Tharindu Bandaragoda
2020 arXiv   pre-print
Secondly for the slow-paced social data, a suite of new machine learning and natural language processing techniques were developed to automatically capture self-disclosed information of the individuals  ...  Identified events were validated against contemporary events reported in news.  ...  Banerjee et al. (2007) and Hu et al. (2009) (Miller, 1995) ontology to enrich short text with paraphrases.  ... 
arXiv:2009.09078v1 fatcat:izo3eyjc4vdo3jnttt7omvsv5q

A Multi-Lingually Applicable Journalist Toolset For The Big-Data Era

G. Kiomourtzis, G. Giannakopoulos, V. Karkaletsis, A. Kosmopoulos
2016 Zenodo  
Acknowledgments This work was supported by REVEAL 5 project, which has received funding by the European Unions 7th Framework Program for research, technology development and demonstration under the Grant  ...  Acknowledgements The research leading to these results has received funding from the European Union -Seventh Framework Programme (FP7/2007-2013) under grant agreement 610916: SENSEI.  ...  Political commentaries published on a daily basis consists of short texts not exceeding 400 words each.  ... 
doi:10.5281/zenodo.1242850 fatcat:nfkqg7jhjffdvgezdjzc6xxppa

Physicians' Progress Notes [chapter]

Jørgen Bansler, Erling Havn, Troels Mønsted, Kjeld Schmidt, Jesper Hastrup Svendsen
2013 ECSCW 2013: Proceedings of the 13th European Conference on Computer Supported Cooperative Work, 21-25 September 2013, Paphos, Cyprus  
The title of this paper comes from comments made by an 'angry' ethnographer during a debriefing session.  ...  Finally, we acknowledge the student volunteers who provided support throughout the event; and we thank the sponsors and those who offered their support to the conference. Abstract.  ...  Thanks to Tom Rodden for valuable comments on an earlier draft of this paper, and to Mike Fraser, Peter Tolmie, James Norris, and Holger Schnädelbach for useful feedback on this work.  ... 
doi:10.1007/978-1-4471-5346-7_7 dblp:conf/ecscw/BanslerHMSS13 fatcat:nnouibkakjalzkuugdozzgc5ii

Enhancing grammatical structures in web-based texts [chapter]

Leonardo Zilio, Rodrigo Wilkens, Cédrick Fairon
2017 CALL in a climate of change: adapting to turbulent global conditions – short papers from EUROCALL 2017  
Acknowledgements We would like to thank Dr Zöe Handely for her feedback and the students for their participation.  ...  Acknowledgements We thank the Walloon Region (Projects BEWARE 1510637 and 1610378) for support, and Altissia International for collaboration.  ...  The scanned images of the short texts include metadata that contain digital text data corresponding to the hand-written text.  ... 
doi:10.14705/rpnet.2017.eurocall2017.738 fatcat:oofyj56lfbhqjgnsinoj2rkxui

The Information Society, a Challenge for Business Students? [chapter]

Viktorija Florjančič
2015 Communications in Computer and Information Science  
We would like to thank our authors, reviewers, and Program Committee for their contributions and the University of Maribor, Slovenia, for hosting the conference.  ...  The authors would like to acknowledge the support received from projects Conacyt-168543 and Plan Nacional I+D+I del MCIN, Reference EDU2011-20328 during the preparation of this article.  ...  The greatest deviations in fail success criteria were at the following success criteria: • 1.1.1 Non-text Content (img element missing alt attribute, when using images, specify a short text alternative  ... 
doi:10.1007/978-3-319-22629-3_14 fatcat:nd3afvjdrzgxxiuwx7zwsfnhwm

Automatic text filtering using limited supervision learning for epidemic intelligence [article]

Avaré Bonaparte Stewart, University, My
In Chapter 3, we explored the extent to which semi-supervised learning (SSL) could be used to filter disease reporting mentions for the short text of sentences.  ...  Comparison with the State-of-the-Art Short Text Classification Finally, we compare the performance of the xLabel approach to reported results for the similar sentence-level classification tasks [Zha08  ... 
doi:10.15488/8373 fatcat:pdvqp2twb5datcwaoye643uikq

Machine Knowledge: Creation and Curation of Comprehensive Knowledge Bases [article]

Gerhard Weikum, Luna Dong, Simon Razniewski, Fabian Suchanek
2021 arXiv   pre-print
To support the long-term life-cycle and the quality assurance of machine knowledge, the article presents methods for constructing open schemas and for knowledge curation.  ...  This article surveys fundamental concepts and practical methods for creating and curating large knowledge bases.  ...  We are most grateful for the thoughtful and extremely helpful comments by Soumen Chakrabarti, AnHai Doan and two other (anonymous) reviewers.  ... 
arXiv:2009.11564v2 fatcat:vh2lqfmhhbcwpf6dcsej3hhvgy

ECTMIH2021 Supplement

2021 Tropical medicine & international health  
CONCLUSION Migration put logistical constrains on limited resources, including capacity for medical support.  ...  I recorded information about the health effects of the emergency situation and recorded vital parameters during the days following the reopening of a clinic.  ...  events after immunsation.  ... 
doi:10.1111/tmi.13632 pmid:34569123 fatcat:fpjupzjtuvd7jgesxxwqjr6zcy

Penilaian Kualiti Laporan EIA Dalam Aspek Kajian Hakisan Tanah [article]

Abdul Mahmud
2020 Figshare  
The scale of measurement 0 to 5 has been used to rating score quality for each item. 35 samples of EIA report for housing projects from the year 2012 to 2016 were evaluated.  ...  The quality report is defined as a measure of adequacy and completeness the necessary information in the impact assessment.  ...  Generally, there are differences in alpha activities for each short text when a participant read all three of the short texts.  ... 
doi:10.6084/m9.figshare.12095736 fatcat:fzsit3wyqjc3fni4no4zzopz5e

Visual analytics of social media for situation awareness [article]

Dennis Thom, Universität Stuttgart, Universität Stuttgart
This change also offers completely new possibilities for domains that rely on good situation awareness, such as disaster management, emergency response, disease control, and several forms of command and  ...  Analysts can find eyewitness videos of ongoing critical events in Youtube, they can observe the movement and communication behavior of Facebook users during evacuation measures, and they are enabled to  ...  To this end, it was shown in Chapter 5 how interactive exploration of past and recent situations can inform the creation of supervised filters for ongoing and future events.  ... 
doi:10.18419/opus-3540 fatcat:z2nik4qydnbofid4jh5wp4xbgu

A Topic is Not a Theme: Towards a Contextualised Approach to Topic Modelling

However, the application of topic modelling for social media analysis has cast doubt on the validity, usability, and direction of research on topic modelling.  ...  We also thank Henry Linger for providing feedback on earlier drafts.  ...  I would also like to acknowledge and thank Dr Megan Seen, who provided technical editing and expert feedback for this thesis. The authors declare no conflicts or competing interests.  ... 
doi:10.26180/20280312 fatcat:uib2xvkuxnfcngei352y56kvme

European handbook of crowdsourced geographic information

For more information, see: Lemmens, R, Falquet, G, Métral, C 2016 Towards Linked Data and ontology development for the semantic enrichment of volunteered geo-information.  ...  Besides harvesting tools and storage of these data, research has paid remarkable attention to these information resources, in an age when information and participation is one of the most important drivers  ...  Acknowledgments This research took place during a two week Short Term Scientific Mission (STSM), funded by COST TD1202 ENERTGIC Action, in IGN with the help of Dr Bénédicte Bucher.  ... 
doi:10.5167/uzh-127272 fatcat:lhb66eztvzfunjfszgwhrr6bda
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