 Название: Big Social Data Analytics: Practices, Techniques, and Applications
Автор: Bilal Abu-Salih, Amit Rudra
Издательство: Springer
Год: 2021
Страниц: 226
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB
Brings together expert evaluations in Big Social Data, Text Mining, Social Data Analytics, Data Mining and Artificial Intelligence.
This book focuses on data and how modern business firms use social data, specifically Online Social Networks (OSNs) incorporated as part of the infrastructure for a number of emerging applications such as personalized recommendation systems, opinion analysis, expertise retrieval, and computational advertising. This book identifies how in such applications, social data offers a plethora of benefits to enhance the decision making process.
Apache YARN is a resource management system in a Hadoop cluster. It separates resource management from the job scheduling/monitoring into different daemons (processes or programs running in background). YARN contains a global Resource Manager (RM) and Application Maters (AM) for each application.
Based on the official website of Apache Spark, Spark “is a unified analytics engine for large-scale data processing”. Further, Spark provides high-level tools including Spark SQL for SQL and structured data processing, MLlib for machine learning, GraphX for graph processing, and Structured Streaming for incremental computation and streaming processing. Tom White defined Apache Spark as “a cluster computing framework for large-scale data processing.” Although Spark does not use MapReduce as its execution engine, there are similarities in terms of API and runtime. Some outstanding features of Apache Spark including but not limited to speed, ease of use, generality, and runs everywhere.
Contents:
1. Social Big dаta: An Overview and Applications
2. Introduction to Big Data Technology
2.2. History of Big Data
2.4.4. Brief Introduction to Amazon AWS, Microsoft Azure, and Google Cloud Platform
2.5. Could Data Lakes – Snowflakes
2.6.1 Overview of Cloudera Data Platform
2.6.2. Hadoop HDFS
2.6.3. Apache Hadoop YARN (Yet Another Resource Negotiator)
2.7. Apache Spark
2.8. Apache HBase
2.9. Apache Solr
3. Credibility Analysis in Social Big Data
4. Semantic Data Discovery from Social Big Data
5. Predictive Analytics Using Social Big Data and Machine Learning
5.3. Machine Learning Algorithms for SBD Predictive Analytics
5.3.7. Deep Learning
6. Affective Design Using Social Big Data
6.2. Affective Design Using Big Data
6.3. Analysis Affective Big Data Using Machine Learning
7. Sentiment Analysis on Big News Media Data
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