Sentiment Analysis Training | Personal Development Training in Jeddah

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Sentiment Analysis Training

Jeddah

Attain knowledge of Sentiment Analysis using NLP to identify the emotion behind a situatio
Learn about the sentiment-based rating prediction method to improve prediction accuracy.
Become familiar with word sense disambiguation and coreference resolution.

Dates & Prices Dates & Prices

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

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.

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 Jeddah 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.

Jeddah is a city of Saudi Arabia in the Hijaz Tihamah region. It is the largest city in the Makkah Province. Jeddah has an estimated population of around 3.4 million people. The city is the principal gateway to Mecca. The unemployment rate of Saudi Arabia has remained unchanged between 2014 and 2015. It stayed at 5.7 percent. Between 1999 and 2014 the average rate of unemployment in the country was 5.5 percent. Saudi Arabia’s all time high unemployment rate is 6.3 percent in 2006 and the lowest rate was 4.4 percent in 1999. Jeddah is home to a number of higher education institutes, including: King Abdulaziz University, Islamic Fiqh Academy and Teacher's College.

Address

Golden Hotel Jeddah

King Fahad Road

Saudi Arabia

21416

T: +971 8000311193

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 Jeddah. 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.

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Unlock your potential with The Knowledge Academy's Sentiment Analysis Training | Personal Development Training in Jeddah, 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.

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Experience the most sought-after learning style with The Knowledge Academy's Sentiment Analysis Training | Personal Development Training in Jeddah. 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 Jeddah sessions.

Highly experienced trainers

Boost your skills with our expert trainers, boasting 10+ years of real-world experience, ensuring an engaging and informative training experience

State of the art training venues

We only use the highest standard of learning facilities to make sure your experience is as comfortable and distraction-free as possible

Small class sizes

Our Classroom courses with limited class sizes foster discussions and provide a personalised, interactive learning environment

Great value for money

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

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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.

Tailored learning experience

Leverage benefits offered from a certification that fits your unique business or project needs

Maximise your training budget

Cut unnecessary costs and focus your entire budget on what really matters, the training.

Team building opportunity

Our offers a unique chance for your team to bond and engage in discussions, enriching the learning experience beyond traditional classroom settings

Monitor employees progress

The course know-how will help you track and evaluate your employees' progression and performance with relative ease

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What our customers are saying

Sentiment Analysis Training | Personal Development Training in Jeddah FAQs

What is Sentiment Analysis?

Sentiment Analysis, also known as opinion mining, is a technique used in Natural Language Processing (NLP) to determine the emotional undertone of a text.

What are the pre-requisites?

There are no formal prerequisites to attend this Sentiment Analysis Training course.

Who should attend this course?

This Sentiment Analysis Training course is suitable for anyone who wants to include Sentiment Analysis for their projects.

What are the four main steps of Sentiment Analysis?

The Sentiment Analysis process consists of four steps, such as data collection, data processing, data analysis, and data visualisation.

What are the benefits of Sentiment Analysis?

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.

What is the duration of this course?

This course is [ 1 ] day(s)

What is text mining?

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.

What will I learn in this Sentiment Analysis Training course?

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.

What is the cost/training fees for Sentiment Analysis Training in Jeddah?

The training fees for Sentiment Analysis Trainingin Jeddah starts from SAR7995

Which is the best training institute/provider of Sentiment Analysis Training in Jeddah?

The Knowledge Academy is the Leading global training provider for Sentiment Analysis Training.

What are the best Personal Development Courses courses in Jeddah?

Please see our Personal Development Courses courses available in Jeddah

Why choose us

Best price in the industry

You won't find better value in the marketplace. If you do find a lower price, we will beat it.

Many delivery methods

Flexible delivery methods are available depending on your learning style.

High quality resources

Resources are included for a comprehensive learning experience.

"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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