Beneath the Tip of the Iceberg: Current Challenges and New Directions in Sentiment Analysis Research

IEEE TRANSACTIONS ON AFFECTIVE COMPUTING(2023)

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摘要
Sentiment analysis as a field has come a long way since it was first introduced as a task nearly 20 years ago. It has widespread commercial applications in various domains like marketing, risk management, market research, and politics, to name a few. Given its saturation in specific subtasks - such as sentiment polarity classification - and datasets, there is an underlying perception that this field has reached its maturity. In this article, we discuss this perception by pointing out the shortcomings and under-explored, yet key aspects of this field necessary to attain true sentiment understanding. We analyze the significant leaps responsible for its current relevance. Further, we attempt to chart a possible course for this field that covers many overlooked and unanswered questions.
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关键词
Natural language processing,sentiment analysis,emotion recognition,aspect based sentiment analysis,sarcasm analysis,sentiment-aware dialogue generation,bias in sentiment analysis systems
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