What are the challenges of performing sentiment analysis on text with legal terminology?

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 ... Jun 16, 2018 ... We present a novel feature fusion strategy that proceeds in a hierarchical fashion, first fusing the modalities two in two and only then fusing all three ... 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 ... 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 ... Oracle Text searches for the specified keywords and generates a result set. Then, sentiment analysis is performed on the result set to identify a sentiment ... The sentiment analysis algorithm determines if a chunk of text is positive, negative or neutral. It uses natural language processing (NLP) techniques such as ... Sentiment Analysis predicts sentiment for each document in a corpus. It uses Liu & Hu and Vader sentiment modules from NLTK, multilingual sentiment lexicons. Sentiment analysis is the process of analyzing digital text to determine if the emotional tone of the message is positive, negative, or neutral. Sentiment analysis is an artificial intelligence tool that scores documents on the likelihood that they contain negativity, anger, desire, or other emotions. Nov 26, 2024 ... Beyond product analysis, sentiment analysis is widely used in social media monitoring, market research, and customer feedback analysis.