How can sentiment analysis be used to analyze feedback on societal norms?

Apr 15, 2022 ... Traditionally sentiment analysis is used to consider customer feedback, employee engagement, survey responses, and product reviews. Monitoring ... Jun 13, 2024 ... In this study, we address the gaps by developing a deep learning-based approach for sentiment analysis. We have collected 24,360 comments from ... Mar 23, 2023 ... Python is a popular programming language used for text analysis and mining, and the Natural Language Toolkit (NLTK) library is one of the most ... Nov 20, 2024 ... Sentiment analysis in Slack involves evaluating the emotional tone of messages to gain insights into how employees feel about topics within their workplace. Sep 9, 2021 ... Sentiment analysis defined. Sentiment analysis is analytical technique that uses statistics, natural language processing, and machine learning ... 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 ... Sentiment analysis is the process of analyzing digital text to determine if the emotional tone of the message is positive, negative, or neutral. 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 ... Feb 2, 2022 ... Sentiment analysis is a natural language processing technique that identifies the polarity of a given text. There are different flavors of ... Drug sentiment analysis has become very significant in present times as classifying medicines based on their effectiveness through analyzing reviews from users ...