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IJCNLP-2017 Task 4: Customer Feedback Analysis.
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2017
Year
Customer ExperienceCustomer SatisfactionShared TaskEngineeringConsumer ResearchCommunicationBusiness AnalyticsText MiningNatural Language ProcessingInformation RetrievalData ScienceComputational LinguisticsCustomer Feedback AnalysisLanguage EngineeringManagementConsumer BehaviorMachine TranslationNlp TaskLanguage TechnologyUser FeedbackMarketingCustomer Journey AnalysisCustomer FeedbackData-driven LearningLinguistics
The IJCNLP 2017 Shared Task on Customer Feedback Analysis was introduced to benchmark sentiment analysis across four languages. The task provided annotated corpora in English, French, Spanish, and Japanese, using a shared meanings categorization refined from an ADAPT‑Microsoft pivot study. Twenty teams participated, twelve submitted results, and the shared task demonstrated reasonably good performance across the four languages, with nine system description papers archived.
This document introduces the IJCNLP 2017 Shared Task on Customer Feedback Analysis. In this shared task we have prepared corpora of customer feedback in four languages, i.e. English, French, Spanish and Japanese. They were annotated in a common meanings categorization, which was improved from an ADAPT-Microsoft pivot study on customer feedback. Twenty teams participated in the shared task and twelve of them have submitted prediction results. The results show that performance of prediction meanings of customer feedback is reasonable well in four languages. Nine system description papers are archived in the shared tasks proceeding.
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