Sentiment analysis of Facebook data using Hadoop based open source technologies

机译：使用基于Hadoop的开源技术对Facebook数据进行情感分析

获取原文

页面导航

摘要
著录项
相似文献
相关主题

摘要

As more and more enterprises are looking forward to leveraging the connected network of Facebook to capture inputs and feedback on their brands, it is becoming increasingly important to mine the unstructured information from Facebook. The recent advances in open source software technologies in the map reducing paradigm opens up a whole new opportunity for such advanced analytics. This paper illustrates the use of open source technologies for brand sentiment analysis from Facebook data.

机译：随着越来越多的企业期望利用Facebook的互联网络来获取其品牌的输入和反馈，挖掘来自Facebook的非结构化信息变得越来越重要。地图缩减范例中开源软件技术的最新进展为此类高级分析打开了一个全新的机会。本文说明了使用开放源代码技术从Facebook数据中进行品牌情感分析的过程。

著录项

来源
《IEEE International Conference on Data Science and Advanced Analytics》|2015年|1-3|共3页
会议地点
作者
Dasgupta Sudipto Shankar; Natarajan Swaminathan; Kaipa Kiran Kumar; Bhattacherjee Sujay Kumar; Viswanathan Arun;
展开▼
作者单位

展开▼
会议组织
原文格式 PDF
正文语种
中图分类
关键词
Dictionaries; Facebook; Fault tolerance; Media; Sentiment analysis; Sparks; Uniform resource locators; Open Source Big Data Platform; R; Social Media Sentiment Analysis; Spark;

机译：词典; Facebook;容错;媒体;情感分析;火花;统一资源定位器;开源大数据平台; R;社交媒体情感分析;火花;

相似文献

外文文献
中文文献
专利

1. Deep Learning-based Sentiment Analysis of Facebook Data: The Case of Turkish Users [J] . OENDER COBAN, SELMA AYSE OEZEL, ALI INAN The Computer journal . 2021,第3期

机译：基于深度学习的Facebook数据的情感分析：土耳其用户的案例
2. Facebook Analysis of Community Sentiment on 2019 Indonesian Presidential Candidates from Facebook Opinion Data [J] . Budi Haryanto, Yova Ruldeviyani, Fathur Rohman, Procedia Computer Science . 2019,第1期

机译：Facebook从Facebook观点数据中分析2019年印尼总统候选人的社区情绪
3. Sentiment Analysis of Customers using Product Feedback Data under Hadoop Framework [J] . Soumya P.C, Venkatramana Bhat P International journal of computational intelligence research . 2017,第5a3a期

机译：Hadoop框架下使用产品反馈数据的客户情感分析
4. Sentiment Analysis of Facebook Data using Hadoop based Open Source Technologies [C] . Sudipto Shankar Dasgupta, Swaminathan Natarajan, Kiran Kumar Kaipa, IEEE International Conference on Data Science and Advanced Analytics . 2015

机译：基于Hadoop的开源技术的Facebook数据的情感分析
5. Sentiment analysis of big social data with Apache Hadoop. [D] . Kang, Qiuling. 2014

机译：使用Apache Hadoop对大型社交数据进行情感分析。
6. Vaccine misinformation on social media – topic-based content and sentiment analysis of Polish vaccine-deniers’ comments on Facebook [O] . Krzysztof Klimiuk, Agnieszka Czoska, Karolina Biernacka, 2021

机译：关于社会媒体的疫苗误导 - 基于主题的主题 - 波兰疫苗 - 旦尼斯对Facebook评论的情感分析
7. IMPLEMENTATION OF A NOVEL SENTIMENT ANALYSIS TECHNIQUE FOR TWITTER DATA USING RHADOOP [O] . Thasnim K M . 2016

机译：利用Rhadoop实现推特数据的新颖情绪分析技术
8. End Use Technology Data Base Management System (ENUTEC). Volume 2. Description of Data and Identification of Sources [R] . Kadalur, D. , Harris, L. R. 1985

机译：最终使用技术数据库管理系统（ENUTEC）。第2卷。数据描述和来源识别

Sentiment analysis of Facebook data using Hadoop based open source technologies

摘要

著录项

相似文献

相关主题

期刊订阅