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Text Mining Training - United Kingdom

Key points about this course


Duration: 2 Days*

Support: 24/7

Dates & Prices Enquire
  • Gain knowledge of the architecture of the text mining system and text mining query languag
  • Learn how to access constraints and simple specification filters at the presentation layer
  • Learn how to use unlabeled data to improve the classification.

Available delivery methods for this course

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Course Information

Text Mining Training​ Course Overview

Text mining is a knowledge-intensive process in which a user interacts with a document collection over time with the help of a suite of analysis tools. A document collection can be any grouping of text-based documents. Text Mining seeks to extract valuable information from data sources by identifying and exploring patterns.

This course is designed to provide complete knowledge of text mining operations and preprocessing techniques. Delegates will get an understanding of the text categorisation problem. They will learn about significant algorithms to perform text categorisation. Also, they will learn how to use unlabelled data and evaluate text classifiers.

During this 2-day training, delegates will be equipped with the knowledge of clustering and Information Extraction (IE). Delegates will learn how to access constraints and simple specification filters at the presentation layer. Then, delegates will be introduced to hidden Markov models and maximal entropy Markov models. Post completion of this training, delegates will be able to use MEMM for Information Extraction.

Text Mining Training​ Course Outline

Introduction to Text Mining

  • What is Text Mining?
  • Text Mining Systems Architecture

Core Text Mining Operations

  • Text Mining Operations
  • Text Mining Query Languages

Text Mining Preprocessing Techniques

  • Task-Oriented Approaches

Categorisation

  • Text Categorisation Applications
  • Document Representation
  • Knowledge Engineering and Machine Learning Approach to TC
  • Using Unlabeled Data
  • Evaluating Text Classifiers

Introduction to Clustering

  • Clustering Tasks in Text Analysis
  • Clustering Algorithms
  • Clustering of Textual Data

Information Extraction (IE)

  • Define Information Extraction
  • IE Systems Architecture
  • Anaphora Resolution
  • IE Inductive Algorithms
  • Structural Information Extraction (IE)

Probabilistic Models for IE

  • Hidden Markov Models
  • Stochastic Context-Free Grammar
  • Maximal Entropy Modeling
  • Maximal Entropy Markov Models
  • Conditional Random Fields

Preprocessing Applications

  • HMM to Textual Analysis Applications
  • Using MEMM for IE
  • Applications of CRFs to Textual Analysis
  • Using SCFG Rules
  • Bootstrapping

Presentation-Layer Considerations

  • Browsing
  • Accessing Constraints and Simple Specification Filters at the Presentation Layer
  • Accessing the Underlying Query Language

Visualisation Approaches

  • Architectural Considerations
  • Text Mining Visualisation Approaches
  • Visualisation Techniques in Link Analysis

Introduction to Link Analysis

  • Automatic Layout of Networks
  • Paths and Cycles in Graphs
  • Centrality
  • Partitioning of Networks
  • Networks Pattern Matching

Prerequisites:

There are no prerequisites for attending this course.

Audience:

Anyone wishes to develop their knowledge and skill-set can attend this course. This course is well-suited for:

  • Data Scientists and Analysts
  • UX Researchers
  • Machine Learning Engineers
Please arrive at the venue at 8:45am.
There are no prerequisites for attending this course.
Anyone wishes to develop their knowledge and skill-set can attend this course. This course is well-suited for: Data Scientists and Analysts, UX Researchers, Machine Learning Engineers
We are able to provide support via phone & email prior to attending, during and after the course.
Delegate pack consisting of course notes and exercises, Manual, Experienced Instructor, and Refreshments
This course is 2 days.
Once your booking has been placed and confirmed, you will receive an email which contains your course location, course overview, pre-course reading material (if required), course agenda and payment receipts
The price for Text Mining Training certification in the United Kingdom starts from £
The Knowledge Academy is the Leading global training provider in the world for Text Mining Training.
  • Delegate pack consisting of course notes and exercises
  • Manual
  • Experienced Instructor

Key points about this course


Duration: 2 Days*

Support: 24/7

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Text Mining Training Dates & Prices

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Manchester
Thu 9th Jan 2020
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£1995
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£2195
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Dublin
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London
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Reading
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Edinburgh
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Manchester
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Key points about this course


Duration: 2 Days*

Support: 24/7


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