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 Tokyo venue

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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.

Tokyo is the capital of Japan. It has a population of around 8.9 million people but it has the largest populous metropolitan area in the world at a whopping 13 million people. Tokyo is split into 23 separate wards which operate and are governed as separate cities. The city also hosts 51 of the Fortune Global 500 companies, a record of any city in the world. Because of its population, Tokyo has a vast amount of schools. Public elementary and primary schools are run by the local wards, secondary schools are run by the Tokyo Metropolitan Government Board of Education and there are also many private schools. Some universities provide classes which are taught in English and teach the Japanese language to students such as the Sophia University, International Christian University and Waseda University. There are a number of large, prestigious universities in Tokyo such as University of Tokyo, Keio University and Hitotsubashi University. University of Tokyo is the highest rated university in Asia and enrols around 30,000 students a year. It was established in 1877 and provides a number of undergraduate and graduate programs in law, science, engineering and more. A small percentage of people in Japan speak fluent English, around 3%. English is taught in schools, however it is mostly just reading and writing skills. The unemployment rate in Japan runs at about 3.4%. The unemployment rate in Tokyo runs roughly the same at a rate of 3.5%.

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Address

Tokyo Shinjuku Park Tower
163-1030
Tokyo
Shinjuku-ku
3-7-1 Nishi-Shinjuku
30/F Shinjuku Park Tower

T: + 1-866 272 8822

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 Tokyo. 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 Tokyo, 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.

Experience the most sought-after learning style with The Knowledge Academy's Sentiment Analysis Training | Personal Development Training in Tokyo. Available in 490+ locations across 190+ countries, our hand-picked Classroom venues offer an invaluable human touch. Immerse yourself in a comprehensive, interactive experience with our expert-led Sentiment Analysis Training | Personal Development Training in Tokyo sessions.

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Achieve certification without breaking the bank. Find a lower price elsewhere? We'll match it to guarantee you the best value

Streamline large-scale training requirements with The Knowledge Academy's In-house/Onsite at your business premises. Experience expert-led classroom learning from the comfort of your workplace and engage professional development.

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What our customers are saying

Sentiment Analysis Training | Personal Development Training in Tokyo 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 Tokyo starts from $1295
The Knowledge Academy is the Leading global training provider for Sentiment Analysis Training.
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You won't find better value in the marketplace. If you do find a lower price, we will beat it.

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Flexible delivery methods are available depending on your learning style.

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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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