How can sentiment analysis be used to analyze feedback on delivery speed (open text fields)?

Jun 18, 2018 ... There has been substantial work on sentiment classification on reviews and comments from interactive websites using machine learning techniques ... Apr 23, 2018 ... It is useful for business marketing to understand the public or consumer opinion toward their product [8]. Computerized software tools have been ... Thirdly, a Textual Analysis was carried out on the topics in each sentiment with Text Data Mining techniques using Nvivo software. This research has detected ... Aug 8, 2022 ... Sentiment analysis predominantly uses NLP and ML to make sense of the linguistic nuances observed in user interactions. The foundations of ... 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 ... Apr 23, 2018 ... Multiple methods are used for sentiment analysis of tweets in the health care setting. These range from self-produced basic categorizations ... 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. 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 uses context from surrounding phrases to improve the detection rates of positive and negative sentiments. The use of context means that the ... Meanwhile, the negative review results are used as recommendations for future improvements in tourist attractions. Keywords: text mining, sentiment analysis, ...