Can sentiment analysis predict election outcomes?

Sentiment analysis is a technique used to determine the emotional tone behind a piece of text—whether it conveys a positive, negative, or neutral sentiment ... Nov 27, 2023 ... Conventional sentiment analysis methods often fail to capture this heterogeneity, potentially leading to misjudged economic consequences for ... Dec 11, 2023 ... It uses lists of words and phrases (lexicons or dictionaries) that are linked to different emotions to label the words (e.g. positive, negative, ... Jul 1, 2019 ... For this purpose, authors have used Twitter to detect and classify terrorist events by utilizing civilian sentiments. ... using sentiment analysis ... Jul 31, 2020 ... We propose an aspect-based sentiment analysis hybrid approach that integrates domain lexicons and rules to analyse the entities smart apps reviews. 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 ... Nov 26, 2024 ... Beyond product analysis, sentiment analysis is widely used in social media monitoring, market research, and customer feedback analysis. 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.