Sentiment Analysis Training | Personal Development Training in Kitchener

Sentiment Analysis Training Course Outline

Module 1: Introduction

• Sentiment Analysis Applications
• Sentiment Analysis Research
• Sentiment Analysis as Mini NLP
• (Topic removed for adherence to four topics)

Module 2: Problem of Sentiment Analysis

• Definition of Opinion
• Affect, Emotion, and Mood
• Psychology
• Sentiment Analysis

Module 3: Document Sentiment Classification

• Supervised Sentiment Classification
• Unsupervised Sentiment Classification
• Sentiment Rating Prediction
• Cross-Domain Sentiment Classification

Module 4: Sentence Subjectivity and Sentiment Classification

• Subjectivity
• Sentence Subjectivity Classification
• Sentence Sentiment Classification
• Dealing with Conditional Sentences

Module 5: Aspect Sentiment Classification

• Rules of Sentiment Composition
• Negation and Sentiment
• Modality and Sentiment
• Coordinating Conjunction

Module 6: Aspect and Entity Extraction

• Frequency-Based Aspect Extraction
• Exploiting Syntactic Relations
• Using Supervised Learning
• Mapping Implicit Aspects

Who Should Attend this Sentiment Analysis Training Course?

This Sentiment Analysis Course in Kitchener is designed to equip individuals with the skills and knowledge necessary to analyse and interpret sentiments, emotions, and opinions expressed in text data. This course will benefit the following professionals:

• Marketers
• Customer Service Representatives
• Product Managers
• Social Media Managers
• Sales Professionals
• Investors
• Customer Experience (CX) Managers

Prerequisites for the Sentiment Analysis Training Course

There are no formal prerequisites for this course. However, prior experience in Natural Language Processing (NLP) would be helpful for the delegates.

Introduction to Sentiment Analysis Training Overview

Sentiment Analysis is an essential technique in today’s digital world, helping professionals decode opinions, emotions, and moods hidden within text. This Personal Development Course explores sentiment analysis as a branch of NLP, covering its foundations, classification methods, and applications across industries. By understanding sentiment in unstructured data like reviews and social media, professionals gain meaningful insights into customer behaviour and market trends.

Ideal for Marketing, Data Analysis, Customer Service, and Social Media roles, this training empowers delegates to classify documents and sentences, handle subjectivity, extract aspects and entities, and apply sentiment rules such as negation and modality. These skills enable informed decision-making and improved customer experience.

The Knowledge Academy’s 1-day Sentiment Analysis Training in Kitchener provides practical knowledge and hands-on experience with supervised and unsupervised techniques, aspect-based analysis, and NLP methodologies. Delegates will learn to effectively evaluate public opinion and sentiment from text data, building a strong foundation for real-world applications.

Sentiment Analysis Course Objectives

• To grasp the fundamentals of Sentiment Analysis
• To explore different sentiment analysis tools and techniques
• To develop proficiency in interpreting sentiment data
• To apply sentiment analysis in real-world business scenarios
• To gain insights into customer attitudes and preferences
• To enhance data-driven decision-making processes

Upon completing this course, delegates will possess a strong foundation in Sentiment Analysis. They will be able to extract meaningful insights from textual data, enabling them to make informed decisions, improve customer experiences, and identify emerging trends in their respective fields.

What’s Included in this Sentiment Analysis Training Course?

• World-Class Training Sessions from Experienced Instructors
• Sentiment Analysis Certificate
• Digital Delegate Pack