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

页码：391 / 396

页数：6

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