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

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 ... A sentiment analysis tool can also be used for monitoring. As an extension of brand perception monitoring, sentiment analysis can be an invaluable crisis ... Broadly speaking, sentiment analysis is most effective when used as a tool for Voice of Customer and Voice of Employee. Business analysts, product managers, ... Sep 15, 2011 ... Hauffa, 2011), sentiment analysis was used to characterize social relations. ... opinion-related features, which showed that sentiment analysis ... 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 ... 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 ... 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 ... Oct 30, 2017 ... Sentiment analysis can be used for survey research, social media analyses, and tracking psychological trends. Picture software that scans ... Nov 26, 2024 ... Beyond product analysis, sentiment analysis is widely used in social media monitoring, market research, and customer feedback analysis. We present a lexicon-based approach to extracting sentiment from text. The Semantic Orientation CALculator (SO-CAL) uses dictionaries of words annotated with ...