How can sentiment analysis be used to analyze feedback on pet care advice?

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 ... They collect all publicly available mentions that contain your predefined keyword and analyze the emotions behind these messages. As for technical aspects, ... Jul 22, 2024 ... Applying LLMs to sentiment analysis. Sentiment analysis is a use case that is deeply affected by LLMs due to their ability to understand context ... Jul 7, 2016 ... Sentiment analysis can also provide analytical perspectives for financial investors who want to discover and respond to market opinions [3, 4]. Nov 26, 2024 ... Beyond product analysis, sentiment analysis is widely used in social media monitoring, market research, and customer feedback analysis. 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 ... VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed ... The sentiment analysis packages we will be used to obtain our sentiment scores are free-to-use and brought to you by the wonderful R community. Sentiment analysis has been used by political campaigns and administrations to refine messaging after monitoring opinions about campaign advertisements, ... A sentiment analysis tool can also be used for monitoring. As an extension of brand perception monitoring, sentiment analysis can be an invaluable crisis ...