Sentiment Analysis on Twitter

被引：0

作者：

Meral, Meric ^{[1
]}

Diri, Banu ^{[1
]}

机构：

[1] Yildiz Tekn Univ, Bilgisayar Muhendisligi Bolumu, Istanbul, Turkey

来源：

2014 22ND SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU) | 2014年

关键词：

Twitter; sentiment analysis; machine learning;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Social media has become an important information source with the expanding internet and ideas shared by the people. The social media raw data which is quite disordered and messy can not be processed as it is and obtain adequate results. In this study, sentiment analysis has been performed by collecting data from the Twitter. To perform this analysis an intelligent system has been created by using machine learning methods such as Naive Bayes, Random Forest, Support Vector Machine and the compared results has been given.

引用

页码：690 / 693

页数：4