Enhancing sentiment classification performance using bi-tagged phrases
10.1109/ICDMW.2013.80
Saved in:
Main Authors: | Agarwal, B., Mittal, N., Cambria, E. |
---|---|
Other Authors: | TEMASEK LABORATORIES |
Format: | Conference or Workshop Item |
Published: |
2016
|
Subjects: | |
Online Access: | http://scholarbank.nus.edu.sg/handle/10635/128932 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | National University of Singapore |
Similar Items
-
Aspect-based Twitter sentiment classification
by: Lek, H.H., et al.
Published: (2014) -
A hybrid method for cross-domain sentiment classification using multiple sources
by: Fang, F., et al.
Published: (2014) -
Data intensive review mining for sentiment classification across heterogeneous domains
by: Bisio, F., et al.
Published: (2014) -
Aspect-based sentiment analysis of Filipino COVID-19 tweets with memory networks
by: Guzman, John Paul
Published: (2024) -
Meta-based self-training and re-weighting for aspect-based sentiment analysis
by: He, Kai, et al.
Published: (2022)