Text Mining Training in London City

Text Mining Training​ Course Outline

Module 1: Introduction to Text Mining

• What is Text Mining?
• Text Mining Systems Architecture

Module 2: Core Text Mining Operations

• What are Core Text Mining Operations?
• Text Mining Query Languages

Module 3: Text Mining Pre-Processing Techniques

• Task-Oriented Approaches

Module 4: Categorisation

• Text Categorisation Applications
• Document Representation
• Knowledge Engineering to TC
• Using Unlabelled Data
• Evaluating Text Classifiers

Module 5: Introduction to Clustering

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

Module 6: Information Extraction (IE)

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

Module 7: Probabilistic Models for IE

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

Module 8: Pre-Processing Applications

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

Module 9: Presentation-Layer Considerations

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

Module 10: Visualisation Approaches

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

Module 11: Introduction to Link Analysis

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

Who Should Attend this Text Mining Training Course?

This Text Mining Training Course is suitable for a wide range of professionals and individuals who want to gain expertise extracting information, sentiment, or patterns from unstructured text-based data. The following professionals can benefit from this training:

• Data Scientists
• Software Engineers
• Data Analysts
• Digital Marketers
• Product Managers
• Business Intelligence Analysts
• NLP Engineers

Prerequisites of the Text Mining Training Course

There are no formal prerequisites for attending this Text Mining Course.

Text Mining Training Course Overview

Text Mining Training introduces delegates to the principles of analysing large volumes of text to uncover patterns, trends, and insights. It explains how structured techniques transform unorganised content from documents, reports, and digital platforms into meaningful information.

This training supports professionals working with data and content in building analytical capability. It develops the ability to extract value from textual sources, strengthening decision-making and providing a competitive advantage in data-driven environments.

This 2-Day course offered by The Knowledge Academy enables delegates to apply text mining concepts with confidence. Through focused learning and practical activities, delegates gain the skills to preprocess data, categorise text, evaluate classifiers, and refine analytical outcomes effectively.

Text Mining Training Course Objectives

• To grasp the fundamentals of text mining and preprocessing techniques
• To utilise key algorithms for efficient text categorisation
• To evaluate and enhance text classifiers using unlabelled data
• To gain expertise in clustering and Information Extraction (IE)
• To explore techniques for constraint handling and specification filtering
• To master the application of hidden Markov models and maximal entropy Markov models for Information Extraction

Upon completing the Data Science Online Training, delegates will possess a comprehensive skill set in text mining, enabling them to efficiently extract valuable insights from textual data, automate processes, and enhance decision-making in their respective professional domains.

What’s Included in this Text Mining Training?

• World-Class Training Sessions from Experienced Instructors 
• Text Mining Certificate 
• Digital Delegate Pack