利用机器学习对商业数据进行情感分析

G. Usha, L. Dharmanna
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引用次数: 0

摘要

情感分析,也称为意见挖掘,是利用自然语言处理和文本分析对情感状态和主观信息进行系统的识别、提取、量化和研究。对于从营销到客户服务的各种应用,情感分析通常用于评论和调查答案、在线和社交媒体以及医疗保健材料。本研究的目的是确定产品评论情感分析的各种算法的准确性。在这项研究中,从一个电子商务网站收到了4444条在线产品评论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sentiment Analysis on Business Data using Machine Learning
Sentiment Analysis, also known as Opinion Mining, is the systematic identification, extraction, quantification, and study of affective states and subjective information using natural language processing and text analysis. For applications ranging from marketing to customer service, sentiment analysis is commonly used on reviews and survey answers, online and social media, and healthcare materials.The aim of this study is to determine the accuracy of the various algorithms for sentiment analysis of product reviews. For this study, 4,444 online product reviews were received from an e-commerce site.
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