NTOUA at IJCNLP-2017 Task 2: Predicting Sentiment Scores of Chinese Words and Phrases

Chuan-Jie Lin, Hao-Tsung Chang

[How to correct problems with metadata yourself]

Abstract
This paper describes the approaches of sentimental score prediction in the NTOU DSA system participating in DSAP this year. The modules to predict scores for words are adapted from our system last year. The approach to predict scores for phrases is keyword-based machine learning method. The performance of our system is good in predicting scores of phrases.
Anthology ID:
I17-4021
Volume:
Proceedings of the IJCNLP 2017, Shared Tasks
Month:
December
Year:
2017
Address:
Taipei, Taiwan
Editors:
Chao-Hong Liu, Preslav Nakov, Nianwen Xue
Venue:
IJCNLP
SIG:
Publisher:
Asian Federation of Natural Language Processing
Note:
Pages:
130–133
Language:
URL:
https://aclanthology.org/I17-4021
DOI:
Bibkey:
Cite (ACL):
Chuan-Jie Lin and Hao-Tsung Chang. 2017. NTOUA at IJCNLP-2017 Task 2: Predicting Sentiment Scores of Chinese Words and Phrases. In Proceedings of the IJCNLP 2017, Shared Tasks, pages 130–133, Taipei, Taiwan. Asian Federation of Natural Language Processing.
Cite (Informal):
NTOUA at IJCNLP-2017 Task 2: Predicting Sentiment Scores of Chinese Words and Phrases (Lin & Chang, IJCNLP 2017)
Copy Citation:
PDF:
https://preview.aclanthology.org/teach-a-man-to-fish/I17-4021.pdf
PDF Search