CLIRMay 1, 2020

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

arXiv:2005.00357v5297 citations
Originality Synthesis-oriented
AI Analysis

It identifies key challenges and new directions for researchers and practitioners in sentiment analysis, which is incremental as it builds on existing work rather than introducing a novel method.

The paper addresses the perception that sentiment analysis has reached maturity by highlighting its shortcomings and under-explored aspects necessary for true sentiment understanding, while analyzing past advancements and proposing future research directions.

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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