SENTIMENT ANALYSIS USING BIG DATA

被引：0
|
作者：
Ramanujam, R. Suresh [1 ]
Nancyamala, R. [1 ]
Nivedha, J. [1 ]
Kokila, J. [1 ]
机构：
[1] Sri Manakula Vinayagar Engn Coll, Dept Informat Technol, Pondicherry, India
来源：
2015 INTERNATIONAL CONFERENCE ON COMPUTATION OF POWER, ENERGY, INFORMATION AND COMMUNICATION (ICCPEIC) | 2015年
关键词：
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
The Web has become an excellent source for assembling consumer opinions. There are now several Web sites containing such opinions, e.g., customer reviews of products, forums, discussion groups, and blogs. This paper focuses on online customer reviews of products. It makes two contributions. First, it proposes a framework for analyzing and comparing consumer opinions of competing products in map and reduce environment for better analysis. Second, a new technique based on lexicon based technique is proposed to extract neutral reviews and restrict them from being categorized under positive or negative. Experimental results show that the technique is highly effective and smash existing methods significantly.
引用
收藏
页码：480 / 484
页数：5
相关论文
共 50 条
  • [31] Sentiment analysis on big sparse data streams with limited labels
    Iosifidis, Vasileios
    Ntoutsi, Eirini
    KNOWLEDGE AND INFORMATION SYSTEMS, 2020, 62 (04) : 1393 - 1432
  • [32] Sentiment Analysis of Big Data: Methods, Applications, and Open Challenges
    Shayaa, Shahid
    Jaafar, Noor Ismawati
    Bahri, Shamshul
    Sulaiman, Ainin
    Wai, Phoong Seuk
    Chung, Yeong Wai
    Piprani, Arsalan Zahid
    Al-Garadi, Mohammed Ali
    IEEE ACCESS, 2018, 6 : 37807 - 37827
  • [33] Big Data and Sentiment Analysis using KNIME: Online Reviews vs. Social Media
    Mihanovic, Ana
    Gabelica, Hrvoje
    Krstic, Zivko
    2014 37TH INTERNATIONAL CONVENTION ON INFORMATION AND COMMUNICATION TECHNOLOGY, ELECTRONICS AND MICROELECTRONICS (MIPRO), 2014, : 1464 - 1468
  • [34] A new big data approach for topic classification and sentiment analysis of Twitter data
    Anisha P. Rodrigues
    Niranjan N. Chiplunkar
    Evolutionary Intelligence, 2022, 15 : 877 - 887
  • [35] Modelling Propagation of Public Opinions on Microblogging Big Data Using Sentiment Analysis and Compartmental Models
    Fang, Youjia
    Chen, Xin
    Song, Zheng
    Wang, Tianzi
    Cao, Yang
    INTERNATIONAL JOURNAL ON SEMANTIC WEB AND INFORMATION SYSTEMS, 2017, 13 (01) : 11 - 27
  • [36] A new big data approach for topic classification and sentiment analysis of Twitter data
    Rodrigues, Anisha P.
    Chiplunkar, Niranjan N.
    EVOLUTIONARY INTELLIGENCE, 2022, 15 (02) : 877 - 887
  • [37] The Multimodal Sentiment Analysis of Online Product Marketing Information Using Text Mining and Big Data
    Fang, Zhuo
    Qian, Yufeng
    Su, Chang
    Miao, Yurong
    Li, Yanmin
    JOURNAL OF ORGANIZATIONAL AND END USER COMPUTING, 2022, 34 (01)
  • [38] Big Data Mining for Investor Sentiment
    Cen, Tao
    Chu, Qianqian
    He, Renke
    2018 INTERNATIONAL SYMPOSIUM ON POWER ELECTRONICS AND CONTROL ENGINEERING (ISPECE 2018), 2019, 1187
  • [39] Sentiment Analysis Is a Big Suitcase
    Cambria, Erik
    Poria, Soujanya
    Gelbukh, Alexander
    Thelwall, Mike
    IEEE INTELLIGENT SYSTEMS, 2017, 32 (06) : 74 - 80
  • [40] Sentiment classification on Big Data using Naive Bayes and Logistic Regression
    Prabhat, Anjuman
    Khullar, Vikas
    2017 INTERNATIONAL CONFERENCE ON COMPUTER COMMUNICATION AND INFORMATICS (ICCCI), 2017,
12345