8 posts · 3,243 views
Social Media Content Analysis Natural Language Processing Data Mining and Machine learning for large-scale social media GPU based processing, distributed and parallel architectures Online Social Interaction Modeling and Analysis Observing and modeling online communities Social network analysis and community detection User behaviour analysis, crowdsourcing and trust analysis Social Media Applications and Architecture Sensing and predicting social media topics and activities Massive Social Data Knowledge Visualization and Exploration
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8 posts
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- June 9, 2012
- 11:00 AM
- 553 views
Android malware classification using NLTK
by Alejandro Mosquera in amsqr
There are already several great Android malware static and dynamic analysis frameworks (http://code.google.com/p/droidbox/, http://code.google.com/p/apkinspector/, http://code.google.com/p/androguard/ ) but I still wanted not only testing my first hypothesis about the higher correlation of non-standard Android permissions and malware but to be able to discover the most common permissions that malware authors use when developing these troublesome applications.... Read more »
B. Sanz, I. Santos, C. Laorden, X. Ugarte-Pedrero y P.G. Bringas. (2012) On the Automatic Categorisation of Android Applications. Proceedings of the 9th IEEE Consumer Communications and Networking Conference (CCNC). info:/
- June 1, 2012
- 03:44 AM
- 441 views
RULETOOL: A Cellular Automaton Demo
A cellular automaton is a discrete model studied in computability theory and mathematics. It consists of an infinite, regular grid of cells, each in one of a finite number of states. The grid can be in any finite number of dimensions. Time is also discrete, and the state of a cell at time t is a function of the state of a finite number of cells called the neighborhood at time t-1. These neighbors are a selection of cells relative to some specified, and does not change (Though the cell itse........ Read more »
Stephen Wolfram. (2002) History of Cellular Automata. A New Kind of Science. info:/
- June 9, 2012
- 11:00 AM
- 431 views
Twit-Fight: A Sentiment Analysis Demo using Twitter Data
by Alejandro Mosquera in amsqr
TwitFight is a proof of concept application that uses several Natural Language Processing (NLP) techniques such as sentiment analysis or text mining to analyze two sets of "tweets" obtained by querying the Twitter API. ... Read more »
Bo Pang, Lillian Lee, & Shivakumar Vaithyanathan. (2002) Thumbs up? Sentiment Classification using Machine Learning Techniques. Proceedings of the ACL-02 conference on Empirical methods in natural language processing. arXiv: cs/0205070v1
- June 9, 2012
- 11:00 AM
- 415 views
Tracking Emotions with Twitter in Realtime with EmotiMeter
by Alejandro Mosquera in amsqr
EmotiMeter is a client-side application that continuously search for emoticons (happy / sad) in Twitter updates and draws a circle in a world map regarding the user location. ... Read more »
Bo Pang, Lillian Lee, & Shivakumar Vaithyanathan. (2002) Thumbs up? Sentiment Classification using Machine Learning Techniques. Proceedings of the ACL-02 conference on Empirical methods in natural language processing. arXiv: cs/0205070v1
- July 19, 2012
- 11:00 AM
- 401 views
Detecting Unhealthy Regions in Leaf Images Pixel by Pixel
by Alejandro Mosquera in amsqr
A pixel by pixel method has been proved useful to detect unhealthy regions using leaf images. For this reason I have implemented a pixel by pixel algorithm in order to detect damaged leaf sections and to calculate leaf area in pixels.... Read more »
Pérez Rodríguez F., Camino Saco A., Mendes Lopes D.M., Rojo Alboreca A., Gómez García E. (2012) SCANNING LEAVES ALGORITHM BASED IN “RGB PIXEL BY PIXEL” METHOD. Proceedings of V European Congress of Methodology. info:/
- August 9, 2012
- 11:00 AM
- 361 views
RULETOOL v2: L-systems and turtle graphics
by Alejandro Mosquera in amsqr
An L-system or Lindenmayer system is a parallel rewriting system, namely a variant of a formal grammar.I have implemented a simple L-system class with HTML5 Canvas or WebGL output. Feel free to explore the predefined models or create your own.... Read more »
Przemyslaw Prusinkiewicz, Aristid Lindenmayer. (1990) The Algorithmic Beauty of Plants. Springer-Verlag. pp. 101–107. DOI: 10.1016/S0168-9452(96)04526-8
- May 3, 2012
- 05:00 AM
- 346 views
User-generated content Informality
by Alejandro Mosquera in amsqr
The relevance of informality analysis in social media texts... Read more »
Alejandro Mosquera, & Paloma Moreda. (2011) Enhancing the discovery of informality levels in Web 2.0 texts. Proceedings of the 3rd Language Technology Conference (LTC 2011), Poland. info:/
- September 6, 2012
- 11:00 AM
- 295 views
L-systems and algorithmic sound experiments
by Alejandro Mosquera in amsqr
New user-generated content music genres such as the "Bytebeat", that is a new genre of electronic music where a piece of rhythmic and/or somewhat melodic music is generated in real-time using just a relatively short formula. In this experiment I combine both approaches, generative L-systems and executable formulae.... Read more »
Ville-Matias Heikkilä. (2011) Discovering novel computer music techniques by exploring the space of short computer programs. Corr. arXiv: 1112.1368v1
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