Papers with emotion classification model

2 papers
An Emotional Comfort Framework for Improving User Satisfaction in E-Commerce Customer Service Chatbots (2021.naacl-industry)

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Challenge: E-commerce has grown rapidly over the last several years, and chatbots for intelligent customer service are simultaneously drawing attention.
Approach: They propose a framework to obtain proper answer to customers’ emotional questions using emotion classification model and text matching.
Outcome: The proposed framework is very promising on real online systems.
Crowdsourcing and Validating Event-focused Emotion Corpora for German and English (P19-1)

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Challenge: Existing studies on automatic recognition of emotions in text have achieved promising results, but there is a shortage of resources for non-English languages, with few exceptions, like Chinese.
Approach: They propose to use a crowdsourced German emotion corpus to build a corpus similar to the English ISEAR emotion dataset.
Outcome: The proposed model performs well in German and English, but lacks the resources for non-English languages.

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