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

Jun 13, 2023 ... During market research, sentiment analysis can be utilized to look into general target audience segments. It can help define and further explain ... Sep 15, 2011 ... Hauffa, 2011), sentiment analysis was used to characterize social relations. ... opinion-related features, which showed that sentiment analysis ... 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. 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 ... Jan 24, 2024 ... A sentiment analysis tool was used to categorize each comment as positive, negative, or neutral. Sentiment analysis Use Cases. The analysis ... Sentiment analysis provides an effective way to evaluate written or spoken language to determine if the expression is favorable, unfavorable, or neutral. Sentiment analysis (also known as opinion mining or emotion AI) is the use of natural language processing, text analysis, computational linguistics, and ... We present a lexicon-based approach to extracting sentiment from text. The Semantic Orientation CALculator (SO-CAL) uses dictionaries of words annotated with ... Dec 5, 2022 ... Sentiment analysis of vegan related tweets using mutual information for feature selection. Elvina Shamoi 1 , Akniyet Turdybay 1 , Pakizar Shamoi 1 , Iskander ... May 31, 2024 ... The Cleveland Clinic, a renowned healthcare provider, uses AI sentiment analysis to gauge patient reviews and feedback. By identifying common ...