IJCNLP-2017 Task 2: Dimensional Sentiment Analysis for Chinese Phrases

2017-12-01 · IJCNLP 2017 12 · Liang-Chih Yu, Lung-Hao Lee, Jin Wang, Kam-Fai Wong

This paper presents the IJCNLP 2017 shared task on Dimensional Sentiment Analysis for Chinese Phrases (DSAP) which seeks to identify a real-value sentiment score of Chinese single words and multi-word phrases in the both valence and arousal dimensions. Valence represents the degree of pleasant and unpleasant (or positive and negative) feelings, and arousal represents the degree of excitement and calm. Of the 19 teams registered for this shared task for two-dimensional sentiment analysis, 13 submitted results. We expected that this evaluation campaign could produce more advanced dimensional sentiment analysis techniques, especially for Chinese affective computing. All data sets with gold standards and scoring script are made publicly available to researchers.

📄 PDF Abstract BibTeX

Code (0)

등록된 구현이 없습니다.

Tasks

Sentiment AnalysisTask 2

NCYU at IJCNLP-2017 Task 2: Dimensional Sentiment Analysis for Chinese Phrases using Vector Representations

2017-12-01 · IJCNLP 2017 12 · Jui-Feng Yeh, Jian-Cheng Tsai, Bo-Wei Wu, Tai-You Kuang

This paper presents two vector representations proposed by National Chiayi University (NCYU) about phrased-based sentiment detection which was used to compete in dimensional sentiment analysis for Chinese phrases (DSACP)…

Clustering Sentiment Analysis Task 2

NLPSA at IJCNLP-2017 Task 2: Imagine Scenario: Leveraging Supportive Images for Dimensional Sentiment Analysis

2017-12-01 · IJCNLP 2017 12 · Szu-Min Chen, Zi-Yuan Chen, Lun-Wei Ku

Categorical sentiment classification has drawn much attention in the field of NLP, while less work has been conducted for dimensional sentiment analysis (DSA). Recent works for DSA utilize either word embedding, knowledg…

General Classification Sentiment Analysis Sentiment Classification Task 2

LDCCNLP at IJCNLP-2017 Task 2: Dimensional Sentiment Analysis for Chinese Phrases Using Machine Learning

2017-12-01 · IJCNLP 2017 12 · Peng Zhong, Jingbin Wang

Sentiment analysis on Chinese text has intensively studied. The basic task for related research is to construct an affective lexicon and thereby predict emotional scores of different levels. However, finite lexicon resou…

BIG-bench Machine Learning Sentiment Analysis Task 2 Word Embeddings

Alibaba at IJCNLP-2017 Task 2: A Boosted Deep System for Dimensional Sentiment Analysis of Chinese Phrases

2017-12-01 · IJCNLP 2017 12 · Xin Zhou, Jian Wang, Xu Xie, Changlong Sun 외

This paper introduces Team Alibaba{'}s systems participating IJCNLP 2017 shared task No. 2 Dimensional Sentiment Analysis for Chinese Phrases (DSAP). The systems mainly utilize a multi-layer neural networks, with multipl…

Clustering Feature Engineering Part-Of-Speech Tagging Prediction+2

CIAL at IJCNLP-2017 Task 2: An Ensemble Valence-Arousal Analysis System for Chinese Words and Phrases

2017-12-01 · IJCNLP 2017 12 · Zheng-Wen Lin, Yung-Chun Chang, Chen-Ann Wang, Yu-Lun Hsieh 외

Sentiment lexicon is very helpful in dimensional sentiment applications. Because of countless Chinese words, developing a method to predict unseen Chinese words is required. The proposed method can handle both words and …

Opinion Mining Sentiment Analysis Task 2