How can sentiment analysis be used to analyze feedback on local issues?

May 31, 2024 ... The Cleveland Clinic, a renowned healthcare provider, uses AI sentiment analysis to gauge patient reviews and feedback. By identifying common ... Sentiment analysis is a technique used to determine the emotional tone behind a piece of text—whether it conveys a positive, negative, or neutral sentiment ... Sentiment analysis provides an effective way to evaluate written or spoken language to determine if the expression is favorable, unfavorable, or neutral. Apr 23, 2018 ... This study suggests that there is a need for an accurate and tested tool for sentiment analysis of tweets trained using a health care setting–specific corpus. Sentiment analysis can also be used to track customer sentiment over time, helping decision-makers identify positive or negative long-term trends. Feb 2, 2022 ... Sentiment analysis is a natural language processing technique that identifies the polarity of a given text. There are different flavors of ... Oracle Text searches for the specified keywords and generates a result set. Then, sentiment analysis is performed on the result set to identify a sentiment ... Learn what sentiment analysis is, why it's important to your brand and ... used in customer feedback. Sentiment analysis tools look for particular ... 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. Jul 31, 2020 ... We propose an aspect-based sentiment analysis hybrid approach that integrates domain lexicons and rules to analyse the entities smart apps reviews.