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

页码：480 / 484

页数：5

共 50 条

[21] Full Consideration of Big Data Characteristics in Sentiment Analysis Context
El Alaoui, Imane
Gahi, Youssef
Messoussi, Rochdi
2019 IEEE 4TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING AND BIG DATA ANALYSIS (ICCCBDA), 2019, : 126 - 130
[22] Strength in Numbers: Using Big Data to Simplify Sentiment Classification
Filippas, Apostolos
Lappas, Theodoros
BIG DATA, 2017, 5 (03) : 256 - 271
[23] Sentiment analysis on big sparse data streams with limited labels
Vasileios Iosifidis
Eirini Ntoutsi
Knowledge and Information Systems, 2020, 62 : 1393 - 1432
[24] A New Lexicon Learning Algorithm for Sentiment Analysis of Big Data
Keshavarz, Hamidreza
Abadeh, Mohammad Saniee
Almasi, Mehrdad
2017 IEEE 15TH INTERNATIONAL SYMPOSIUM ON INTELLIGENT SYSTEMS AND INFORMATICS (SISY), 2017, : 249 - 253
[25] The Impact of Natural Language Preprocessing on Big Data Sentiment Analysis
Khader, Mariam
Awajan, Arafat
Al-Naymat, Ghazi
INTERNATIONAL ARAB JOURNAL OF INFORMATION TECHNOLOGY, 2019, 16 (3A) : 506 - 513
[26] Sentiment Analysis Based on Support Vector Machine and Big Data
Povoda, Lukas
Burget, Radim
Dutta, Malay Kishore
2016 39TH INTERNATIONAL CONFERENCE ON TELECOMMUNICATIONS AND SIGNAL PROCESSING (TSP), 2016, : 543 - 545
[27] Big data and sentiment analysis: A comprehensive and systematic literature review
Hajiali, Mahdi
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2020, 32 (14):
[28] A review on sentiment discovery and analysis of educational big-data
Han, Zhongmei
Wu, Jiyi
Huang, Changqin
Huang, Qionghao
Zhao, Meihua
WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY, 2020, 10 (01)
[29] A novel adaptable approach for sentiment analysis on big social data
El Alaoui, Imane
Gahi, Youssef
Messoussi, Rochdi
Chaabi, Youness
Todoskoff, Alexis
Kobi, Abdessamad
JOURNAL OF BIG DATA, 2018, 5 (01)
[30] Big Data Financial Sentiment Analysis in the European Bond Markets
Pezzoli, Luca Tiozzo
Consoli, Sergio
Tosetti, Elisa
MINING DATA FOR FINANCIAL APPLICATIONS, 2020, 11985 : 122 - 126

← 1 2 3 4 5 →