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arXiv:2005.00357cs.CL

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

Soujanya Poria, Devamanyu Hazarika, Navonil Majumder, Rada Mihalcea

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Abstract

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 that are 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.

arXiv comments
Published in the IEEE Transactions on Affective Computing (TAFFC)
Journal reference
DOI
Subjects
cs.CLComputation and Language cs.IRInformation Retrieval

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