How can sentiment analysis be used to analyze feedback on art installations?

Sentiment analysis can also be used to track customer sentiment over time, helping decision-makers identify positive or negative long-term trends. Mar 19, 2013 ... We created a tableau dashboard for sentiment analyses, on top of our sentiment analyses platform. Can be setup in 15 minutes. Evaluating customer sentiment. It can be used to find both an organization's happy and unhappy customers, giving insight into what's working for your business ... Jul 7, 2016 ... Sentiment analysis can also provide analytical perspectives for financial investors who want to discover and respond to market opinions [3, 4]. 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 ... 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 ... We present a lexicon-based approach to extracting sentiment from text. The Semantic Orientation CALculator (SO-CAL) uses dictionaries of words annotated with ... 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 ... The two key steps for sentiment analysis are preparing the data to ensure it is suitable for analysis and classifying the emotion in the data. Selecting the ... 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 ...