Thematic Exploration of Linked Data
by Castano et al.; Very Large Data Search (VLDS) 2011 This article addresses the problem of organizing linked data, which features an inherent flat organizat...
Recent posts
Clash of the Contagions - Cooperation and Competition in Information Diffusion
by Seth A. Myers and Jure Leskovec, IEEE International Conference on Data Mining (ICDM 2012), Brussels, Belgium Introduction The authors present a statistica...
Targeting Online Communities to Maximise Information Diffusion
Belák, V., Lam, S. & Hayes, C., 2012. Targeting online communities to maximise information diffusion. In Proceedings of the 21st internati...
Sentiment Analysis of Blogs by Combining Lexical Knowledge with Text Classification
by Melville et al. (KDD 2009) Motivation: </p> before the rise of the Web 2.0 companies published product information and reviews on Web sites ...
Distributional Footprints of Deceptive Product Reviews
by Song Feng, Longfei Xing, Anupam Gogar and Yejin Choi 2012 The authors of this paper argue that there are natural distributions of opinions in reviews for ...
Large-scale Incremental Processing Using Distributed Transactions and Notifications
by Peng and Dabek This paper introduces Percolator and the corresponding processing pipeline called Caffeine, which are systems for incrementally processing ...
Dremel: Interactive Analysis of Web-Scale Datasets
by Melnik et al. in Proceedings of the 36th International Conference on Very Large Data Bases 2010 This paper covers Dremel, a scalable, interactive ad-hoc q...
Web Page Classification: Features and Algorithms
Qi, X. & Davison, B.D., 2009. Web page classification: Features and algorithms. ACM Comput. Surv., 41(2), pp.12:1—12:31. </p> </p> C...
A Survey of Types of Text Noise and Techniques to Handle Noisy Text
by Subramaniam, L. V., Roy, S., Faruquie, T. A., & Negi, S. (2009). A survey of types of text noise and techniques to handle noisy text. Proceedings of T...
Word Sense Disambiguation for Automatic Taxonomy Construction from Text-Based Web Corpora
by de Knijff et al. This paper covers a framework that extracts terms from Web corpora, uses word sense disambiguation (WSD) to determine the word's senses,...
Sparse Machine Learning Methods for Understanding Large Text Corpora
by Ghaoui et al. Sparse machine learning methods provide models that are easier to interpret by seeking a trade-off between goodness-of-fit and the sparsity ...
WISE 2011 - Training a Named Entity Recognizer on the Web
by Urbansky et al. The authors distinguish between three approaches towards NER: use of hand-crafted rules (lexicons, rules) supervised machine learning, an...
Extracting Concepts
This article collects some thoughts on normalizing phrases to concepts. Examples: drive_car <- "drive a car", "you drive your car", "driving cars" and "...
Digital Intuition: Applying Common Sense Using Dimensionality Reduction
Havasi, C., Pustejovsky, J., Speer, R., & Lieberman, H. (2009). Digital Intuition: Applying Common Sense Using Dimensionality Reduction. Intelligent Syst...
Isanette: A Common and Common Sense Knowledge Base for Opinion Mining
Cambria, E. et al., 2011. Isanette: A Common and Common Sense Knowledge Base for Opinion Mining. In Data Mining Workshops (ICDMW), 2011 IEEE 11th Internation...