Challenges in Sentiment Analysis

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Explaining Recurrent Neural Network Predictions in Sentiment Analysis (2017, background): “This includes detecting the scope and impact of negation in reversing a sentiment’s polarity, as well as quantifying the influence of modifiers, such as degree adverbs and intensifiers, in rescaling the sentiment’s intensity (Mohammad, 2017).”
Beneath the Tip of the Iceberg: Current Challenges and New Directions in Sentiment Analysis Research (2020, background): “The Equity Evaluation Corpus (EEC), Kiritchenko & Mohammad [99] is one such example that focuses on finding gender and racial bias.”
A survey on sentiment analysis methods, applications, and challenges (2022, background): “This style, which is dependent on benefits and drawbacks, is listed separately by the authors, and the pros and cons sections are typically comprised of brief sentences (Birjali et al. 2021; Hussein 2018; Ebrahimi et al. 2017; Mohammad 2017).”
Stance Detection on Social Media: State of the Art and Trends (2020, methodology): “Another textual feature that have been used to infer the stance is the sentiment polarity of the post [Mohammad 2017; Elfardy and Diab 2016; Elfardy 2017].”