Tweets Analysis System for Product Reviews
2023 International Conference on Engineering and Emerging Technologies (ICEET)(2023)
摘要
Social networking sites are quickly increasing in popularity among internet users due to the increase in technology usage rates. The use of social media may help build real relationships between producers and consumers. This provides a great opportunity for product providers to learn what customers think about their products so that they can better enhance them, better understand their customers and gauge customer inclinations toward their products. In this paper, a machine learning technique is used for sentiment analysis of tweets that contain product reviews. Snscrape was applied to collect tweets. Support vector machine was used for sentiment analysis classification, achieving an impressive 95% accuracy.
更多查看译文
关键词
Machine learning,support vector machine,sentiment analysis,Text mining
AI 理解论文
溯源树
样例
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要