Conference paper
Combining Formal Logic and Machine Learning for Sentiment Analysis
In
Lecture Notes in Computer Science
—
2014, pp. 375-384
Abstract
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.
| Language: | English |
|---|---|
| Publisher: | Springer |
| Year: | 2014 |
| Pages: | 375-384 |
| Proceedings: | 21st International Symposium on Methodologies for Intelligent Systems (ISMIS 2014)International Symposium on Methodologies for Intelligent Systems |
| Series: | Lecture Notes in Computer Science |
| ISBN: | 3319083252 , 3319083260 , 9783319083254 and 9783319083261 |
| ISSN: | 03029743 |
| Types: | Conference paper |
| DOI: | 10.1007/978-3-319-08326-1_38 |
| ORCIDs: | Villadsen, Jørgen |
