Adaptive Training Instance Selection for Cross-domain Emotion Identification

TitleAdaptive Training Instance Selection for Cross-domain Emotion Identification
Publication TypeConference Paper
Year of Publication2017
AuthorsWang, W, Lu Chen, Keke Chen, Krishnaprasad Thirunarayan, Amit Sheth
Conference NameProceedings of the International Conference on Web Intelligence
Pagination525–532
Date Published08/2017
PublisherACM
Conference LocationNew York, NY, USA
ISBN Number978-1-4503-4951-2
Keywordscross-domain emotion identification, instance selection
Abstract

This paper exploits a large number of self-labeled emotion tweets as the training data from the source domain to improve emotion identification in target domains (i.e., blogs and fairy tales), where there is a short supply of labeled data. Due to the noisy and ambiguous nature of self-labeled emotion training data, the existing domain adaptation methods that typically depend on high-quality labeled source-domain data do not work satisfactorily. This paper describes an adaptive source-domain training instance selection method to address the problem of noisy source-domain training data. The proposed approach can effectively identify the most informative training examples based on three carefully designed measures: consistency, diversity, and similarity. It uses an iterative method that consists of the following steps in each iteration: selecting informative samples from the source domain with the informativeness measures, merging with the target-domain training data, evaluating the performance of learned classifier for the target domain, and updating the informativeness measures for the next iteration. It stops until no new training instance is selected or in a designated number of iterations. Experiments show that our approach performs effectively for cross-domain emotion identification and consistently outperforms baseline approaches across four domains.

DOI10.1145/3106426.3106457
Full Text

Wenbo Wang, Lu Chen, Keke Chen, Krishnaprasad Thirunarayan, and Amit P. Sheth. 2017. Adaptive training instance selection for cross-domain emotion identification. In Proceedings of the International Conference on Web Intelligence (WI '17). ACM, New York, NY, USA, 525-532. DOI: https://doi.org/10.1145/3106426.3106457

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