Ensemble of Neural Networks with Sentiment Words Translation for Code-Switching Emotion Detection

Emotion detection in code-switching texts aims to identify the emotion labels of text which contains more than one language. The difficulties of this task include problems in bridging the gap between languages and capturing crucial semantic information for classification. To address these issues, we propose an ensemble model with sentiment words translation to build a powerful system. Our system first constructs an English-Chinese sentiment dictionary to make a connection between two languages. Afterwards, we separately train several models include CNN, RCNN and Attention based LSTM model. Then combine their classification results to improve the performance. The experiment result shows that our method has a good effect and achieves the second place among nineteen systems.

[1]  Zhongqing Wang,et al.  Emotion in Code-switching Texts: Corpus Construction and Analysis , 2015, SIGHAN@IJCNLP.

[2]  Yue Zhang,et al.  A Bilingual Attention Network for Code-switched Emotion Prediction , 2016, COLING.

[3]  Jimmy Ba,et al.  Adam: A Method for Stochastic Optimization , 2014, ICLR.

[4]  Yoon Kim,et al.  Convolutional Neural Networks for Sentence Classification , 2014, EMNLP.

[5]  Jun Zhao,et al.  Recurrent Convolutional Neural Networks for Text Classification , 2015, AAAI.

[6]  Alex Graves,et al.  Long Short-Term Memory , 2020, Computer Vision.

[7]  Bo Pang,et al.  Thumbs up? Sentiment Classification using Machine Learning Techniques , 2002, EMNLP.

[8]  K. P. Chow,et al.  A Topic Model for Building Fine-grained Domain-specific Emotion Lexicon , 2014, ACL.

[9]  Guodong Zhou,et al.  Emotion Detection in Code-switching Texts via Bilingual and Sentimental Information , 2015, ACL.

[10]  Bing Liu,et al.  Opinion observer: analyzing and comparing opinions on the Web , 2005, WWW '05.

[11]  Long Chen,et al.  Learning Bilingual Sentiment Word Embeddings for Cross-language Sentiment Classification , 2015, ACL.

[12]  Lei Huang,et al.  Sentence-level Emotion Classification with Label and Context Dependence , 2015, ACL.

[13]  Wang Ling,et al.  Microblogs as Parallel Corpora , 2013, ACL.

[14]  Muhammad Abdul-Mageed,et al.  EmoNet: Fine-Grained Emotion Detection with Gated Recurrent Neural Networks , 2017, ACL.

[15]  Guodong Zhou,et al.  Emotion Analysis in Code-Switching Text With Joint Factor Graph Model , 2017, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

[16]  Jeffrey Dean,et al.  Efficient Estimation of Word Representations in Vector Space , 2013, ICLR.

[17]  Shuai Wang,et al.  Deep learning for sentiment analysis: A survey , 2018, WIREs Data Mining Knowl. Discov..

[18]  Diyi Yang,et al.  Hierarchical Attention Networks for Document Classification , 2016, NAACL.