Improving sentiment classification accuracy of financial news using n-gram approach and feature weighting methods
Sentiment classification of financial news deals with the identification of positive and negative news so that they can be applied in decision support system to perform stock trend predictions. This paper explores several types of feature space as different datasets for sentiment classification of t...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2015
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/14342/1/Improving%20sentiment%20classification%20accuracy%20of%20financial%20news%20using%20n-gram%20approach%20and%20feature%20weighting%20methods.pdf http://psasir.upm.edu.my/id/eprint/14342/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|