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

Apr 23, 2018 ... Multiple methods are used for sentiment analysis of tweets in the health care setting. These range from self-produced basic categorizations ... Feb 21, 2022 ... Sentiment analysis is a way of using computers to evaluate the emotion or connotation of words within texts. Sentiment analysis has been used by political campaigns and administrations to refine messaging after monitoring opinions about campaign advertisements, ... VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed ... Apr 15, 2022 ... Traditionally sentiment analysis is used to consider customer feedback, employee engagement, survey responses, and product reviews. Monitoring ... Apr 8, 2024 ... One example is market sentiment monitoring, which uses sentiment analysis to monitor overall sentiment and public opinion on industry trends, ... Drug sentiment analysis has become very significant in present times as classifying medicines based on their effectiveness through analyzing reviews from users ... Feb 18, 2025 ... Use Zonka Feedback's sentiment analysis capabilities to gauge the emotional tone of customers. Collect feedback, get in-depth insights, and take data-driven ... In the previous chapter, we explored in depth what we mean by the tidy text format and showed how this format can be used to approach questions about word ... We present a lexicon-based approach to extracting sentiment from text. The Semantic Orientation CALculator (SO-CAL) uses dictionaries of words annotated with ...