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

May 01, 2020 ยท Declared Dead ยท ๐Ÿ› IEEE Transactions on Affective Computing

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Authors Soujanya Poria, Devamanyu Hazarika, Navonil Majumder, Rada Mihalcea arXiv ID 2005.00357 Category cs.CL: Computation & Language Cross-listed cs.IR Citations 273 Venue IEEE Transactions on Affective Computing Last Checked 3 months ago
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.
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