How can sentiment analysis be used to analyze feedback on single sign-on options (open text fields)?

Sentiment analysis has been used by political campaigns and administrations to refine messaging after monitoring opinions about campaign advertisements, ... Sep 15, 2018 ... The traditional approaches to Twitter Sentiment Analysis (TSA) include dictionary-based and use supervised machine learning tools for sentiment ... 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 ... Nov 27, 2023 ... Conventional sentiment analysis methods often fail to capture this heterogeneity, potentially leading to misjudged economic consequences for ... 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 ... Sep 15, 2011 ... Hauffa, 2011), sentiment analysis was used to characterize social relations. ... opinion-related features, which showed that sentiment analysis ... 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 ... Mar 14, 2025 ... SVM is a popular machine learning algorithm used in sentiment analysis models. It classifies text data by finding the optimal hyperplane that ... Jan 16, 2023 ... Hidden information could be discovered using VADER and TextBlob Sentiment Analysis. This information is usually hidden in collected and stored ... Nov 8, 2024 ... Yes, an AI system for sentiment analysis can be an AI system to infer emotions of a natural person in the workplace or educational institutions.