T. Andreasen, H. Christiansen, J.-C. Cubero, Z.W. Ras
1 Department of Applied Mathematics and Computer Science, Technical University of Denmark2 Algorithms and Logic, Department of Applied Mathematics and Computer Science, Technical University of Denmark3 Technical University of Denmark
This paper presents a formal logical method for deep structural analysis of the syntactical properties of texts using machine learning techniques for efficient syntactical tagging. To evaluate the method it is used for entity level sentiment analysis as an alternative to pure machine learning methods for sentiment analysis, which often work on sentence or word level, and are argued to have difficulties in capturing long distance dependencies.
Lecture Notes in Computer Science, 2014, p. 375-384
Main Research Area:
Lecture Notes in Computer Science
21st International Symposium on Methodologies for Intelligent Systems (ISMIS 2014)International Symposium on Methodologies for Intelligent Systems