What is text sentiment analysis?
什么是文本情感分析？
Text sentiment analysis is the process of identifying and evaluating the emotions and attitudes expressed within a written text. This process is often carried out using machine learning algorithms that analyse the words and phrases used in the text, trying to identify positive, negative or neutral sentiments that are expressed.
Sentiment analysis can be used in various contexts, including business and social contexts. For example, a company might use sentiment analysis to monitor customer satisfaction with its products or services, while a non-profit organisation might use sentiment analysis to evaluate the success of an advertising or awareness-raising campaign.
文本情感分析是识别和评估书面文本中表达的情感和态度的过程。这个过程通常使用机器学习算法，分析文本中使用的单词和短语，试图识别所表达的积极、消极或中性情绪。
情绪分析可用于各种背景，包括商业和社会背景。
例如，一家公司可能使用情感分析来监测客户对其产品或服务的满意度，而一个非营利组织可能使用情感分析来评估一个广告或提高认识活动的成功。