What are the challenges of performing sentiment analysis on text with environmental terms?

We present a lexicon-based approach to extracting sentiment from text. The Semantic Orientation CALculator (SO-CAL) uses dictionaries of words annotated with ... Sentiment analysis is an artificial intelligence tool that scores documents on the likelihood that they contain negativity, anger, desire, or other emotions. This is a popular way for organizations to determine and categorize opinions about a product, service or idea. Sentiment analysis involves the use of data ... Feb 21, 2025 ... An overview of the sentiment analysis feature in Azure AI services, which helps you find out what people think of a topic by mining text for ... 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 ... Aug 8, 2022 ... Sentiment analysis predominantly uses NLP and ML to make sense of the linguistic nuances observed in user interactions. The foundations of ... Sentiment analysis, also known as opinion mining, is the process that uses natural language processing (NLP) and machine learning (ML) techniques to analyze the ... We present a new method for sentiment classification based on extracting and analyzing appraisal groups such as ``very good'' or ``not terribly funny''. An ... Jul 1, 2019 ... For this purpose, authors have used Twitter to detect and classify terrorist events by utilizing civilian sentiments. ... using sentiment analysis ... Sentiment analysis can tell you which customers feel negatively about your brand for whatever reason. For example, you could find out that negative sentiment is ...