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@INPROCEEDINGS{8711095,
author={S. {Madichetty} and M. {Sridevi}},
booktitle={2019 11th International Conference on Communication Systems Networks (COMSNETS)},
title={Detecting Informative Tweets during Disaster using Deep Neural Networks},
address={Bengaluru, India, India},
year={2019},
volume={},
number={},
pages={709-713},
keywords={convolutional neural nets;disasters;emergency management;feature extraction;pattern classification;social networking (online);storms;informative tweets;disaster;information tweets;hurricane Harvey;classifier;feature extraction;noninformative tweets classification;humanitarian organizations;infrastructure damage;social media;deep neural networks;artificial neural network;convolutional neural network;Support vector machines;Feature extraction;Uniform resource locators;Neurons;Social networking (online);Neural networks;Computer architecture;Convolution Neural Network;Artificial Neural Network;Disaster},
doi={10.1109/COMSNETS.2019.8711095},
ISSN={},
month={Jan},}

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author={K. {Giannakopoulos}},
booktitle={2017 3rd International Conference on Big Data Computing and Communications (BIGCOM)},
title={Informative vs. Non-informative Short Message Detection in Social Networks},
address = {Chengdu, China},
year={2017},
volume={},
number={},
pages={165-171},
keywords={Bayes methods;pattern classification;recommender systems;social networking (online);text analysis;personal messages;informative tweets;essential information;useless tweets;trend/topic detection applications;user messages;social networks;informative short message detection;tweet messages classification;cross validation;web crawling;noninformative tweets;noninformative short message detection;original binary multinomial naive Bayes model;informative messages;short messages;Twitter;Vocabulary;Tagging;Mathematical model;Smoothing methods;Electronic mail;Training;Informative tweets;Non-informative tweets;Short messages;Twitter;Social Networks},
doi={10.1109/BIGCOM.2017.55},
ISSN={},
month={Aug},}



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@INPROCEEDINGS{8258372,
author={J. {Longhini} and C. {Rossi} and C. {Casetti} and F. {Angaramo}},
booktitle={2017 IEEE International Conference on Big Data (Big Data)},
title={A language-agnostic approach to exact informative tweets during emergency situations},
address= {Boston, MA, USA},
year={2017},
volume={},
number={},
pages={3739-3475},
keywords={disasters;feature extraction;learning (artificial intelligence);meta data;pattern classification;social networking (online);language-agnostic approach;exact informative tweets;emergency situations;natural hazards;natural disasters;language-agnostic model;base feature set;Twitter-specific metadata;classification results;additional feature;classifier accuracy;machine learning approach;noninformative contents classification;informative contents classification;labeled datasets;sampled datasets;source feature;Twitter;Earthquakes;Floods;Meteorology;Tagging;Disaster relief;social media analysis;classification;machine learning;real-world traces},
doi={10.1109/BigData.2017.8258372},
ISSN={},
month={Dec},}
