What are the challenges of performing sentiment analysis on text with rhetorical questions?

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 ... Mar 7, 2023 ... In this blog, we'll demonstrate how to perform sentiment analysis with the space features in BigQuery ML by training and inferencing machine learning models ... A Sentimental Education: Sentiment Analysis Using Subjectivity. Summarization Based on Minimum Cuts. Bo Pang and Lillian Lee. Department of Computer Science. Feb 21, 2022 ... Sentiment analysis is a way of using computers to evaluate the emotion or connotation of words within texts. 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. This guide is designed to help you learn how to bring artificial intelligence (AI) to open data lakehouses with Snowflake Cortex AI and Iceberg Tables. We present a new method for sentiment classification based on extracting and analyzing appraisal groups such as ``very good'' or ``not terribly funny''. An ... Meanwhile, the negative review results are used as recommendations for future improvements in tourist attractions. Keywords: text mining, sentiment analysis, ... They collect all publicly available mentions that contain your predefined keyword and analyze the emotions behind these messages. As for technical aspects, ... Jan 16, 2023 ... Hidden information could be discovered using VADER and TextBlob Sentiment Analysis. This information is usually hidden in collected and stored ...