Beneath the Tip of the Iceberg: Current Challenges and New Directions in Sentiment Analysis Research
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.
- Publication:
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arXiv e-prints
- Pub Date:
- May 2020
- DOI:
- arXiv:
- arXiv:2005.00357
- Bibcode:
- 2020arXiv200500357P
- Keywords:
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- Computer Science - Computation and Language;
- Computer Science - Information Retrieval
- E-Print:
- Published in the IEEE Transactions on Affective Computing (TAFFC)