Sentiment Analysis Based on A. I. Over Big Data

被引：0

作者：

Kumar, Saroj ^{[1
]}

Singh, Ankit Kumar ^{[2
]}

Singh, Priya ^{[3
]}

Khan, Abdul Mutalib ^{[4
]}

Agrawal, Vibhor ^{[4
]}

Wajid, Mohd Saif ^{[5
]}

机构：

[1] BBDNITM, CSE Dept, Lucknow, Uttar Pradesh, India

[2] BBDEC, IT Dept, Lucknow, Uttar Pradesh, India

[3] ASET, CSE Dept, Lucknow, Uttar Pradesh, India

[4] BBDEC, CSE Dept, Lucknow, Uttar Pradesh, India

[5] BBDU, CSE Dept, Lucknow, Uttar Pradesh, India

来源：

PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON DATA ENGINEERING AND COMMUNICATION TECHNOLOGY, ICDECT 2016, VOL 2 | 2017年 / 469卷

关键词：

Cloud; Artificial intelligence; Recommended system; Collaborative filtering; Single value decomposition (SVD); Big data;

D O I：

10.1007/978-981-10-1678-3_61

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Area of interest over big data is a basic problem of data management system. In this paper we elaborate a methodology for sentiment analysis based on artificial intelligence. In any AI (Nicole, IEEE Trans Inf Theory, IT-9: 248-253 (1963) [1]) systems think like human, think like rationally, act like human, and act like rationally. This type of AI system is imposed on big data to find the common sentiment as per user recommendation. In this paper we present a recommended technique for sentiment analysis. Recommended technique is based on AI approaches. In this paper we elaborate a matrix for user recommended data group for big data which is reduced by dimension reduction technique.

引用

页码：641 / 649

页数：9

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