TY  - GEN
T1  - An improved deep learning-based approach for sentiment mining
A1  - Mohd Sharef, Nurfadhlina
LA  - English
PB  - IEEE
YR  - 2014
UL  - http://discoverylib.upm.edu.my/discovery/Record/oai:psasir.upm.edu.my:56111
AB  - The sentiment mining approaches can typically be divided into lexicon and machine learning approaches. Recently there are an increasing number of approaches which combine both to improve the performance when used separately. However, this still lacks contextual understanding which led to the introduction of deep learning approaches which allows for semantic compositionality over a sentiment treebank. This paper enhances the deep learning approach with semantic lexicon so that scores can be computed in-stead merely nominal classification. Besides, neutral classification is also improved. Results suggest that the approach outperforms its original.
ER  -