How can sentiment analysis be used in smart cities?

Jul 7, 2016 ... Sentiment analysis can also provide analytical perspectives for financial investors who want to discover and respond to market opinions [3, 4]. Sentiment analysis has been used by political campaigns and administrations to refine messaging after monitoring opinions about campaign advertisements, ... Specifically, the self-attention mechanism enables AMIC to generate context-aware word embeddings, assigning document-specific sentiment scores to words based ... Mar 30, 2024 ... It's a form of data science that uses AI, machine learning, and natural language processing (NLP) to uncover human feelings within a message or ... Companies can also use sentiment analysis of previous products as a measure for launching new products, advertising campaigns, or breaking news about your ... Mar 19, 2021 ... In this work, the sentiment analysis is performed with the help of the BERT model on the twitter data sets. The data set is categorized on the ... Learn what sentiment analysis is, why it's important to your brand and ... used in customer feedback. Sentiment analysis tools look for particular ... 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 ... We present a lexicon-based approach to extracting sentiment from text. The Semantic Orientation CALculator (SO-CAL) uses dictionaries of words annotated with ... Jun 18, 2018 ... There has been substantial work on sentiment classification on reviews and comments from interactive websites using machine learning techniques ...