Sentiment Analysis Over Social Networks: An Overview

被引：28
作者：
Ahmed, Khaled [1 ]
El Tazi, Neamat [2 ]
Hossny, Ahmad Hany [3 ]
机构：
[1] Cairo Univ, Fac Computyers & Informat, Cairo, Egypt
[2] Cairo Univ, Fac Comp & Informat, Cairo, Egypt
[3] Deakin Univ, Ctr Intelligent Syst Res, Geelong, Vic 3217, Australia
来源：
2015 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC 2015): BIG DATA ANALYTICS FOR HUMAN-CENTRIC SYSTEMS | 2015年
关键词：
Social Media; Sentiment Analysis; Feature Selection; Recommendation; Spam Detection; Sentiment Lexicons and Emotion Detection; TEXT; ONTOLOGY; ONLINE;
D O I：
10.1109/SMC.2015.380
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
The rapid increase in data on social media creates a need for mining such data to get valuable insights. The data type can be unstructured with large volumes. Sentiment analysis addresses such need by detecting opinions or emotions on the social media text. Sentiment analysis can be performed in various domains such as social, medical and industrial applications. This paper presents a survey about sentiment analysis addressing the different concepts in this area, problems and its solutions, available APIs, tools used and presenting a list of open challenges in this area.
引用
收藏
页码：2174 / 2179
页数：6
相关论文
共 45 条
[1]  
Abu Mansour H. Y., 2012, THESIS U HUDDERSFIEL
[2]  
Ali T., 2013, P 6 INT JOINT C NAT, P667
[3]  
[Anonymous], 2012, PACIFIC RIM INT C AR
[4]  
[Anonymous], 2014, 28 AAAI C ART INT
[5]  
[Anonymous], 2013, P 24 ACM C HYPERTEXT, DOI DOI 10.1145/2481492.2481505
[6]  
[Anonymous], 2013, ICWSM
[7]  
[Anonymous], 2012, MINING TEXT DATA
[8]  
[Anonymous], 2013, P 2013 C EMP METH NA
[9]   iFeel: A Web System that Compares and Combines Sentiment Analysis Methods [J].
Araujo, Matheus ;
Goncalves, Pollyanna ;
Cha, Meeyoung ;
Benevenuto, Fabricio .
WWW'14 COMPANION: PROCEEDINGS OF THE 23RD INTERNATIONAL CONFERENCE ON WORLD WIDE WEB, 2014, :75-78
[10]   Sentiment Analysis and Summarization of Twitter Data [J].
Bahrainian, Seyed-Ali ;
Dengel, Andreas .
2013 IEEE 16TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND ENGINEERING (CSE 2013), 2013, :227-234
12345