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

Jul 7, 2016 ... Sentiment analysis can also provide analytical perspectives for financial investors who want to discover and respond to market opinions [3, 4]. 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. Sep 15, 2018 ... The traditional approaches to Twitter Sentiment Analysis (TSA) include dictionary-based and use supervised machine learning tools for sentiment ... 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 ... Using sentiment algorithms, developers and brand managers can gain insights into customer opinions about a topic. Why is sentiment important to measure? Companies can also use sentiment analysis of previous products as a measure for launching new products, advertising campaigns, or breaking news about your ... 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 ... Sentiment analysis has been used by political campaigns and administrations to refine messaging after monitoring opinions about campaign advertisements, ... Jul 1, 2019 ... For this purpose, authors have used Twitter to detect and classify terrorist events by utilizing civilian sentiments. ... using sentiment analysis ... Oct 30, 2017 ... Sentiment analysis can be used for survey research, social media analyses, and tracking psychological trends. Picture software that scans ...