Course information

Sentiment Analysis Training Course Outline

Module 1: Introduction

  • Sentiment Analysis Applications
  • Sentiment Analysis Research
  • Sentiment Analysis as Mini NLP

Module 2: Problem of Sentiment Analysis

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

Module 3: Document Sentiment Classification

  • Supervised Sentiment Classification
  • Unsupervised Sentiment Classification
  • Sentiment Rating Prediction
  • Cross-Domain Sentiment Classification
  • Cross-Language Sentiment Classification
  • Emotion Classification of Documents

Module 4: Sentence Subjectivity and Sentiment Classification

  • Subjectivity
  • Sentence Subjectivity Classification
  • Sentence Sentiment Classification
  • Dealing with Conditional Sentences
  • Dealing with Sarcastic Sentences
  • Cross-Language Subjectivity and Sentiment Classification
  • Using Discourse Information for Sentiment Classification
  • Emotion Classification of Sentences

Module 5: Aspect Sentiment Classification

  • Rules of Sentiment Composition
  • Negation and Sentiment
  • Modality and Sentiment
  • Coordinating Conjunction 
  • Sentiment Words in Non-Opinion Contexts
  • Rule Representation
  • Word Sense Disambiguation and Coreference Resolution

Module 6: Aspect and Entity Extraction

  • Frequency-Based Aspect Extraction
  • Exploiting Syntactic Relations
  • Using Supervised Learning
  • Mapping Implicit Aspects
  • Grouping Aspects into Categories
  • Exploiting Topic Models
  • Entity Extraction and Resolution
  • Opinion Holder and Time Extraction

Module 7: Sentiment Lexicon Generation

  • Dictionary-Based Approach
  • Corpus-Based Approach
  • Desirable and Undesirable Facts

Module 8: Analysis of Comparative Opinions

  • Problem Definition
  • Identify Comparative Sentences
  • Identifying the Preferred Entity Set
  • Special Types of Comparison
  • Entity and Aspect Extraction

Module 9: Opinion Summarisation and Search

  • Aspect-Based Opinion Summarisation
  • Enhancements to Aspect-Based Summary
  • Contrastive View Summarisation
  • Traditional Summarisation
  • Summarisation of Comparative Opinions
  • Opinion Search
  • Existing Opinion Retrieval Techniques

 Module 10: Analysis of Debates and Comments

  • Recognising Stances in Debates
  • Modelling Debates/Discussions
  • Modelling Comments

Module 11: Mining Intentions

  • Problem of Intention Mining
  • Intention Classification
  • Fine-Grained Mining of Intentions

Module 12: Detecting Fake or Deceptive Opinions

  • Different Types of Spam
  • Supervised Fake Review Detection
  • Supervised Yelp Data Experiment
  • Automated Discovery of Abnormal Patterns
  • Model-Based Behavioural Analysis
  • Group Spam Detection
  • Identifying Reviewers with Multiple User IDs
  • Exploiting Burstiness in Reviews
  • Some Future Research Directions

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Who should attend this Sentiment Analysis Training Course?

Sentiment Analysis Training 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 of the Sentiment Analysis Training Course

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

Sentiment Analysis Training Course Overview

Sentiment Analysis is a valuable technique in today's digital landscape, allowing us to decipher emotions within textual data. This is one of the Personal Development Courses that delves into the world of sentiment analysis, its methodologies, and its wide-ranging applications across industries. Understanding sentiment is crucial for extracting insights from unstructured data, such as customer reviews and social media comments.

Professionals in marketing, data analysis, customer service, and social media management should aim to master sentiment analysis. It empowers them to comprehend customer sentiments, identify market trends, and enhance the overall customer experience. In a data-driven world, these skills are invaluable.

The Knowledge Academy's 1-day Sentiment Analysis Training equips delegates with practical knowledge and hands-on experience in sentiment analysis. The course covers various tools and methodologies to effectively gauge public opinion and sentiment from text data, enabling professionals to make informed decisions

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.

 

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What’s included in this Sentiment Analysis Training Course?

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

Why choose us

Our Hong Kong venue

Includes..

Free Wi-Fi

To make sure you’re always connected we offer completely free and easy to access wi-fi.

Air conditioned

To keep you comfortable during your course we offer a fully air conditioned environment.

Full IT support

IT support is on hand to sort out any unforseen issues that may arise.

Video equipment

This location has full video conferencing equipment.

Hong Kong is an autonomous territory of the People’s Republic of China and can be located on the southern coast of China. Hong Kong has a population of around 7 million people. The education system in Hong Kong is mostly based around the English system and it is overseen by the Education Bureau and the Social Welfare Department. One of the earliest schools in Hong Kong was Li Ying College established in 1075. The education level begins with preschool education that is payable education, paid by pupil’s parents. The primary and secondary education is mandatory for every child in Hong Kong to attend from the age of 6 to 18. Higher education remains exclusive in Hong Kong and adult education is a growing sector in Hong Kong, with two non-profit school running evening courses. The University of Hong Kong was founded in 1911 and is the oldest tertiary (higher education) institution in Hong Kong and is organised into 10 academic faculties with English as the main language of instruction. The Education Bureau in Hong Kong also provides educational services for immigrant children from mainland China and other countries. Hong Kong also has 175 internal schools.

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Address

62/F & 66/F
The Center
99 Queens Road
Central
Hong Kong

T: +852 2592 5349

Ways to take this course

Experience live, interactive learning from home with The Knowledge Academy's Online Instructor-led Sentiment Analysis Training | Personal Development Training in Hong Kong. Engage directly with expert instructors, mirroring the classroom schedule for a comprehensive learning journey. Enjoy the convenience of virtual learning without compromising on the quality of interaction.

Unlock your potential with The Knowledge Academy's Sentiment Analysis Training | Personal Development Training in Hong Kong, accessible anytime, anywhere on any device. Enjoy 90 days of online course access, extendable upon request, and benefit from the support of our expert trainers. Elevate your skills at your own pace with our Online Self-paced sessions.

What our customers are saying

Sentiment Analysis Training | Personal Development Training in Hong Kong FAQs

Sentiment Analysis, also known as opinion mining, is a technique used in Natural Language Processing (NLP) to determine the emotional undertone of a text.
There are no formal prerequisites to attend this Sentiment Analysis Training course.
This Sentiment Analysis Training course is suitable for anyone who wants to include Sentiment Analysis for their projects.
The Sentiment Analysis process consists of four steps, such as data collection, data processing, data analysis, and data visualisation.
Upselling opportunities, agent monitoring, training chatbots, identifying key emotional triggers, handling multiple customers, adaptive customer service, live insights, quick escalations, and tracking overall customer satisfaction are some of the benefits of Sentiment Analysis.
This course is [ 1 ] day(s)
Text mining is the procedure of converting unstructured text into structured data for easy analysis. Text mining uses natural language processing (NLP), which enables machines to comprehend and automatically process human language.
In this Sentiment Analysis Training course, you will learn about various essential concepts such as Sentiment Analysis applications, problem of Sentiment Analysis, unsupervised sentiment classification, emotion classification of documents, group spam detection, automated discovery of abnormal patterns, and many more.
The training fees for Sentiment Analysis Trainingin Hong Kong starts from HKD16995
The Knowledge Academy is the Leading global training provider for Sentiment Analysis Training.
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Many delivery methods

Flexible delivery methods are available depending on your learning style.

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High quality resources

Resources are included for a comprehensive learning experience.

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"Really good course and well organised. Trainer was great with a sense of humour - his experience allowed a free flowing course, structured to help you gain as much information & relevant experience whilst helping prepare you for the exam"

Joshua Davies, Thames Water

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