论文标题
电子商务网站上的情感分析和意见挖掘
Sentiment analysis and opinion mining on E-commerce site
论文作者
论文摘要
情感分析或意见挖掘有助于说明短语NLP（自然语言处理）。近年来，情感分析一直是最重要的话题。这项研究的目的是解决情感分析中的情感极性分类挑战。提出了一种对情感反对派进行分类的广泛技术，以及全面的过程解释。根据分析的结果，进行了句子级分类和审查级别的分类。最后，我们讨论了未来情感分析研究的计划。
Sentiment analysis or opinion mining help to illustrate the phrase NLP (Natural Language Processing). Sentiment analysis has been the most significant topic in recent years. The goal of this study is to solve the sentiment polarity classification challenges in sentiment analysis. A broad technique for categorizing sentiment opposition is presented, along with comprehensive process explanations. With the results of the analysis, both sentence-level classification and review-level categorization are conducted. Finally, we discuss our plans for future sentiment analysis research.
