What are the applications of sentiment analysis in manufacturing science science?

Sep 15, 2011 ... Hauffa, 2011), sentiment analysis was used to characterize social relations. ... opinion-related features, which showed that sentiment analysis ... Sep 11, 2023 ... Opinionated pieces of text can be further divided into negative and positive, using polarity classification. This technique works for large- ... 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 ... Jun 13, 2024 ... In this study, we address the gaps by developing a deep learning-based approach for sentiment analysis. We have collected 24,360 comments from ... 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 ... Aug 8, 2022 ... Sentiment analysis predominantly uses NLP and ML to make sense of the linguistic nuances observed in user interactions. The foundations of ... The sentiment analysis algorithm determines if a chunk of text is positive, negative or neutral. It uses natural language processing (NLP) techniques such as ... 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 ... Jan 16, 2023 ... Hidden information could be discovered using VADER and TextBlob Sentiment Analysis. This information is usually hidden in collected and stored ... Dec 5, 2022 ... Sentiment analysis of vegan related tweets using mutual information for feature selection. Elvina Shamoi 1 , Akniyet Turdybay 1 , Pakizar Shamoi 1 , Iskander ...