How can sentiment analysis be used to analyze feedback on open-ended questions?

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. We present a new method for sentiment classification based on extracting and analyzing appraisal groups such as ``very good'' or ``not terribly funny''. An ... Apr 7, 2022 ... This study performs both sentiment analysis and emotion detection using the tweets related to the cryptocurrency which are widely used for predicting the ... Feb 2, 2022 ... Sentiment analysis is a natural language processing technique that identifies the polarity of a given text. There are different flavors of ... Sentiment analysis is an NLP technique used to determine and extract the sentiments and opinions expressed in the text data. May 15, 2022 ... This tool was used to collect and analyze tweets at scale in real time to study sentiment and key terms of interest. Separate tweet analysis ... Sentiment analysis is used in business intelligence to understand the subjective reasons why consumers are or are not responding to something (e.x. why are ... Jun 12, 2023 ... Using sentiment analysis tools, you may measure how potential consumers perceive you. Analyzing social media and survey data, you can gain ... Jul 7, 2016 ... Sentiment analysis can also provide analytical perspectives for financial investors who want to discover and respond to market opinions [3, 4]. 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 ...