A Hierarchical ML-kNN Method for Complex Emotion Analysis on Customer Reviews

DOI

10.2991/icmeit-16.2016.5How to use a DOI?

Keywords

Sentiment classification, multi-label learning, kNN, hierarchical.

Abstract

Aim at multi-label sentiments classification of customer reviews. This paper presents a hierarchical ML-kNN algorithm. Different from the traditional ML-kNN algorithm, this algorithm can capture the connection of labels by introducing auxiliary labels. The experimental results show that our proposed approach can improve the performances of multi-label sentiments classification of customer reviews. In addition, due to the effective use of auxiliary information, our algorithm can greatly reduce the interference of noises.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Hongwei Qi
AU  - Yanquan Zhou
AU  - Qi Guo
PY  - 2016/08
DA  - 2016/08
TI  - A Hierarchical ML-kNN Method for Complex Emotion Analysis on Customer Reviews
BT  - Proceedings of the 2016 International Conference on Mechatronics Engineering and Information Technology
PB  - Atlantis Press
SP  - 26
EP  - 31
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmeit-16.2016.5
DO  - 10.2991/icmeit-16.2016.5
ID  - Qi2016/08
ER  -