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

Mar 20, 2023 ... Sentiment analysis essentially identifies whether a topic conveys a positive, negative, neutral, or any other sentiment; while text analysis is ... Nov 27, 2023 ... Conventional sentiment analysis methods often fail to capture this heterogeneity, potentially leading to misjudged economic consequences for ... Cornerstone Research uses the most modern and defensible natural language processing methods to enhance the discovery process and support expert testimony. Our ... 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 ... Meanwhile, the negative review results are used as recommendations for future improvements in tourist attractions. Keywords: text mining, sentiment analysis, ... Apr 23, 2018 ... This study suggests that there is a need for an accurate and tested tool for sentiment analysis of tweets trained using a health care setting–specific corpus. Sentiment analysis provides an effective way to evaluate written or spoken language to determine if the expression is favorable, unfavorable, or neutral. Jun 16, 2015 ... In this paper, we aim to tackle the problem of sentiment polarity categorization, which is one of the fundamental problems of 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 ... Thirdly, a Textual Analysis was carried out on the topics in each sentiment with Text Data Mining techniques using Nvivo software. This research has detected ...