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

Sentiment analysis is the process of analyzing digital text to determine if the emotional tone of the message is positive, negative, or neutral. Sentiment analysis, also known as opinion mining, is the process that uses natural language processing (NLP) and machine learning (ML) techniques to analyze the ... Jun 18, 2018 ... There has been substantial work on sentiment classification on reviews and comments from interactive websites using machine learning techniques ... Companies can also use sentiment analysis of previous products as a measure for launching new products, advertising campaigns, or breaking news about your ... Apr 15, 2022 ... Traditionally sentiment analysis is used to consider customer feedback, employee engagement, survey responses, and product reviews. Monitoring ... 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 ... Apr 23, 2018 ... Multiple methods are used for sentiment analysis of tweets in the health care setting. These range from self-produced basic categorizations ... Oct 20, 2020 ... Build Logic Based on Respondent Sentiment. If you are using a Textbox and/or Essay / Long Answer question to collect open-ended responses in ... Sep 15, 2011 ... Hauffa, 2011), sentiment analysis was used to characterize social relations. ... opinion-related features, which showed that sentiment analysis ... Meanwhile, the negative review results are used as recommendations for future improvements in tourist attractions. Keywords: text mining, sentiment analysis, ...