How can sentiment analysis be used to analyze feedback on stress management techniques?

Sentiment analysis is the process of analyzing digital text to determine if the emotional tone of the message is positive, negative, or neutral. A Sentimental Education: Sentiment Analysis Using Subjectivity. Summarization Based on Minimum Cuts. Bo Pang and Lillian Lee. Department of Computer Science. Meanwhile, the negative review results are used as recommendations for future improvements in tourist attractions. Keywords: text mining, sentiment analysis, ... 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 ... Mar 20, 2023 ... Sentiment analysis essentially identifies whether a topic conveys a positive, negative, neutral, or any other sentiment; while text analysis is ... Jul 1, 2019 ... For this purpose, authors have used Twitter to detect and classify terrorist events by utilizing civilian sentiments. ... using sentiment analysis ... Sentiment analysis can also be used to track customer sentiment over time, helping decision-makers identify positive or negative long-term trends. This is a popular way for organizations to determine and categorize opinions about a product, service or idea. Sentiment analysis involves the use of data ... Sentiment analysis (also known as opinion mining or emotion AI) is the use of natural language processing, text analysis, computational linguistics, and ... Mar 7, 2023 ... In this blog, we'll demonstrate how to perform sentiment analysis with the space features in BigQuery ML by training and inferencing machine learning models ...