This full-day, advanced-level bootcamp teaches you how to design, build, and implement text-mining applications to analyze and visualize real-world consumer sentiments using AWS services and tools such as R. The bootcamp includes topics such as ingesting data from Twitter feeds in real time; analyzing the data using text-mining techniques provided by R; storing and interactively querying the data on AWS using services such as Amazon S3, Amazon Redshift, Amazon Athena, Amazon Elasticsearch Service (ES), and Amazon Kinesis Firehose; and visualizing the data using RStudio and Amazon QuickSight.
This bootcamp teaches you how to:
Collect and prepare textual data for the purposes of text mining and sentiment analysis.
Analyze the text using text-mining techniques and sentiment packages provided by R, one of the most popular tools for data analytics.
Visualize the data in RStudio using techniques such as topic modeling and clustering of data.
Ingest the data using Kinesis Firehose and store in Amazon Redshift, Amazon ES, and Amazon S3 for further analysis.
Query and explore the data interactively using Amazon Redshift and Athena.
Search a collection of text documents with Amazon ES, using features such as full text search.
Visualize the data using Amazon QuickSight and analyze trends over time.
Apply the knowledge gained to hands-on labs that provide practical experience with building an end-to-end text-mining solution to analyze real-world consumer sentiments.
This bootcamp is intended for:
Big data developers and engineers
Marketing and data analysts
Other hands-on data and analytics practitioners
We recommend that attendees of this bootcamp have the following prerequisites:
Good working knowledge of AWS core services, including Amazon Elastic Compute Cloud (EC2) and Amazon Simple Storage Service (S3)
Working knowledge of AWS services such as Amazon EMR, Amazon Redshift, Athena, Amazon ES, and Kinesis Firehose
Some experience working with the R programming language
Familiarity with the Linux operating system and command line interface
This bootcamp is delivered through a mix of:
Instructor-Led Training (ILT)
Note: A laptop is required in order to complete technical lab exercises; tablets are not appropriate.
This bootcamp covers the following concepts:
Key services and tools that help build a text mining application on AWS
Pre-processing of textual data using cleansing techniques provided by the R programming language
Text-mining concepts using techniques such as sentiment analysis, topic modeling, clustering, and classification of text
Data ingestion and delivery capabilities provided by Kinesis Firehose
Interactive analysis of data using SQL capabilities provided by Amazon Redshift and Athena
Search capabilities provided by Amazon ES
Data visualization techniques using RStudio and Amazon QuickSight
Repeatable template deployment for implementing a text-mining application on AWS