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We conduct an inquiry into the sociotechnical aspects of sentiment analysis (SA) by critically examining 189 peer-reviewed papers on its applications, models, and dataset.

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The-Sentiment-Problem

In this project, we delve into the intricate sociotechnical dimensions of sentiment analysis (SA). Our critical analysis encompasses a comprehensive review of 189 peer-reviewed papers, scrutinizing their applications, models, and datasets.

Within this repository, you'll find a structured tabulation of these reviewed papers. This format is designed to provide insights into how each paper has been categorized, illuminating the presence or absence of sentiment and the approach to sentiment analysis within them.

Please check out our paper on the same to read more of our findings: The Sentiment Problem: A Critical Survey towards Deconstructing Sentiment Analysis [https://aclanthology.org/2023.emnlp-main.848/]
This work was awarded the 'Outstanding Paper Award' at EMNLP 2023.

For further information contact:
Pranav Narayanan Venkit (pranav.venkit@psu.edu)
Mukund Srinath (mukund@psu.edu)
Dr. Shomir Wilson (shomir@psu.edu)

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We conduct an inquiry into the sociotechnical aspects of sentiment analysis (SA) by critically examining 189 peer-reviewed papers on its applications, models, and dataset.

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