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» Maximal Vector Computation in Large Data Sets
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ICWSM
2009
15 years 4 months ago
Delta TFIDF: An Improved Feature Space for Sentiment Analysis
Mining opinions and sentiment from social networking sites is a popular application for social media systems. Common approaches use a machine learning system with a bag of words f...
Justin Martineau, Tim Finin
ICPR
2002
IEEE
16 years 8 months ago
To Each According to its Need: Kernel Class Specific Classifiers
We present in this paper a new multi-class Bayes classifier that permits using separate feature vectors, chosen specifically for each class. This technique extends previous work o...
Barbara Caputo, Heinrich Niemann
ICPR
2010
IEEE
15 years 10 months ago
Malware Detection on Mobile Devices Using Distributed Machine Learning
This paper presents a distributed Support Vector Machine (SVM) algorithm in order to detect malicious software (malware) on a network of mobile devices. The light-weight system mo...
Ashkan Sharifi Shamili, Christian Bauckhage, Tansu...
ACL
2010
15 years 5 months ago
A Study of Information Retrieval Weighting Schemes for Sentiment Analysis
Most sentiment analysis approaches use as baseline a support vector machines (SVM) classifier with binary unigram weights. In this paper, we explore whether more sophisticated fea...
Georgios Paltoglou, Mike Thelwall
AAAI
2008
15 years 9 months ago
Unknown Rewards in Finite-Horizon Domains
"Human computation" is a recent approach that extracts information from large numbers of Web users. reCAPTCHA is a human computation project that improves the process of...
Colin McMillen, Manuela M. Veloso