How can sentiment analysis be used to analyze feedback on theatrical productions?

Jul 1, 2019 ... For this purpose, authors have used Twitter to detect and classify terrorist events by utilizing civilian sentiments. ... using sentiment analysis ... Feb 23, 2017 ... The basic theme is to reduce noise from the review text by applying different pre-processing steps and process through variant of classifiers. Mar 20, 2023 ... Sentiment analysis essentially identifies whether a topic conveys a positive, negative, neutral, or any other sentiment; while text analysis is ... Oct 20, 2020 ... Build Logic Based on Respondent Sentiment. If you are using a Textbox and/or Essay / Long Answer question to collect open-ended responses in ... The 8 Top Sentiment Analysis Python Packages & Libraries · #1 NLTK. NLTK (Natural Language Toolkit) is a Python library for natural language processing that ... Mar 19, 2013 ... We created a tableau dashboard for sentiment analyses, on top of our sentiment analyses platform. Can be setup in 15 minutes. Oct 25, 2022 ... Sentiment analysis classifies the sentiment of the reviews into positive or negative sentiment. You use the Sentiment workflow to train a BERT- ... 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 ... Dec 17, 2023 ... Sentiment analysis, also known as opinion mining, is a technique used in natural language processing (NLP) to identify and extract sentiments or ... 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 ...