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

Feb 2, 2024 ... This is often used to understand the attitudes, opinions, and emotions expressed in an online mention, a review, or a piece of text. The primary ... Mar 20, 2023 ... Sentiment analysis essentially identifies whether a topic conveys a positive, negative, neutral, or any other sentiment; while text analysis is ... Sentiment analysis is the process of analyzing digital text to determine if the emotional tone of the message is positive, negative, or neutral. 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 ... Jan 24, 2024 ... A sentiment analysis tool was used to categorize each comment as positive, negative, or neutral. Sentiment analysis Use Cases. The analysis ... Sep 9, 2021 ... Sentiment analysis defined. Sentiment analysis is analytical technique that uses statistics, natural language processing, and machine learning ... 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 ... Apr 23, 2018 ... Multiple methods are used for sentiment analysis of tweets in the health care setting. These range from self-produced basic categorizations ... Nov 20, 2024 ... Sentiment analysis in Slack involves evaluating the emotional tone of messages to gain insights into how employees feel about topics within their workplace. Sentiment Analysis predicts sentiment for each document in a corpus. It uses Liu & Hu and Vader sentiment modules from NLTK, multilingual sentiment lexicons.