What are the challenges of performing sentiment analysis on text with chemical formulas?

Oct 9, 2020 ... I'll start by defining the first unusual term in the title: Sentiment Analysis is a very frequent term within text classification and is ... Nov 27, 2023 ... Conventional sentiment analysis methods often fail to capture this heterogeneity, potentially leading to misjudged economic consequences for ... Jun 13, 2024 ... In this study, we address the gaps by developing a deep learning-based approach for sentiment analysis. We have collected 24,360 comments from ... Apr 15, 2022 ... Traditionally sentiment analysis is used to consider customer feedback, employee engagement, survey responses, and product reviews. Monitoring ... The sentiment analysis packages we will be used to obtain our sentiment scores are free-to-use and brought to you by the wonderful R community. Companies can also use sentiment analysis of previous products as a measure for launching new products, advertising campaigns, or breaking news about your ... In the second section, a stratified taxonomy of SA tools is proposed, which distinguishes: (1) the emotion theory adopted by the tool; (2) the method used to ... May 31, 2024 ... The Cleveland Clinic, a renowned healthcare provider, uses AI sentiment analysis to gauge patient reviews and feedback. By identifying common ... Jun 16, 2018 ... We present a novel feature fusion strategy that proceeds in a hierarchical fashion, first fusing the modalities two in two and only then fusing all three ... ... used for fine-tuning the LLM (Step 4). State-of-the-art pre-trained LLMs can perform sentiment analysis without any fine-tuning using zero-shot or few-shot ...