Twitter Sentiment Analysis Using Binary Classification Technique

被引：13
|
作者：
Supriya, B. N. [1 ]
Kallimani, Vish [2 ]
Prakash, S. [3 ]
Akki, C. B. [1 ]
机构：
[1] SJBIT, Dept ISE, Bangalore 560060, Karnataka, India
[2] UTP, Seri Iskandar, Malaysia
[3] Dayanand Sagar Univ, Dept CSE, Bangalore 560078, Karnataka, India
来源：
NATURE OF COMPUTATION AND COMMUNICATION (ICTCC 2016) | 2016年 / 168卷
关键词：
Sentiment analysis; Recall; Precision; Heterogeneous Architecture Research Platform (HARP);
D O I：
10.1007/978-3-319-46909-6_36
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
The popularity of World Wide Web has brought a latest way of expressing the sentiments of individuals. Millions of users express their sentiments on Twitter, making it a precious platform for analyzing the public sentiment. This paper proposes a 3-step algorithm for sentiment analysis. Cleaning, Entity identification, and Classification are the 3 steps. Finally we measure the performance of the classifier using recall, precision and accuracy.
引用
收藏
页码：391 / 396
页数：6
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