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 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 Charlotte 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.

Charlotte is the biggest city in the state of North Carolina. It is the third fastest growing major city in the United States.  It has an estimated population of 810,000 people. Charlotte is home to the corporate headquarters of Bank of America. Education in the USA is provided by both public and private schools, and is mandatory until the age of 16.  Pupils conducting their schooling within the USA start off at preschool, followed by elementary school, then middle school, before finishing at high school.  At age 18, US citizens are able to engage in higher education.  Higher education in the USA normally comes in the form of a college, undergraduate school, or a community college – that latter of which doesn’t normally cost anything to attend.  Candidates participating in a course at a college will gain credits towards a bachelor’s degree, whilst candidates participating a course at a community college will be earning credits in order to achieve an associate’s degree. The public school system in North Carolina is the second largest system in the state and the 17th largest in the whole of the United States. There is an estimate 150,000 pupils being taught in the 164 public schools of Charlotte. Charlotte is the home of many notable universities. For example Central Piedmont Community College, Charlotte School of Law, Johnson C. Smith University and the University of North Carolina are all based in Charlotte. The University of North Carolina is the biggest in the city with 27,000 students. At The Knowledge Academy we offer over 50,000 classroom based training courses in the United States, including popular locations such as Buffalo.

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Address

Charlotte, North Carolina

T: +1 7204454674

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 Charlotte. 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 Charlotte, 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.

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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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

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Sentiment Analysis Training | Personal Development Training in Charlotte FAQs

Sentiment analysis is a method used to determine the emotional tone behind a series of words, helping businesses understand customer opinions, feedback, or social media discussions, and enhance decision-making.
There are no formal prerequisites for this course. However, prior experience in Natural Language Processing (NLP) would be helpful for the delegates.
This course is ideal for Data Analysts, Marketing Professionals, Social Media Managers, and anyone interested in learning how to interpret customer sentiments and improve decision-making through data analysis techniques.
The four main steps of sentiment analysis are data collection, text preprocessing, sentiment classification, and post-processing. These steps help in gathering data, cleaning it, determining the sentiment, and refining the results.
Sentiment analysis helps businesses gain insights into customer opinions, improve customer service, enhance product development, monitor brand reputation, and make data-driven decisions based on public sentiment and feedback.
This course takes 1-day to complete during which delegates participate in intensive learning sessions that cover various course topics.
Text mining is the process of extracting meaningful information and patterns from unstructured text data. It involves techniques such as natural language processing (NLP) to analyse and interpret large volumes of text for insights.
In this course, you will learn how to collect and preprocess data, apply sentiment classification techniques, analyse text data using natural language processing, and interpret results to make data-driven decisions.
To develop sentiment analysis skills, focus on learning natural language processing (NLP) techniques, mastering data collection and preprocessing methods, practising sentiment classification models, and applying these skills to real-world datasets for hands-on experience.
Yes, The Knowledge Academy offers 24/7 support via phone & email before attending, during, and after the course. Our customer support team is available to assist and promptly resolve any issues you may encounter.
In this training course, delegates will have intensive training with our experienced instructors, a digital delegate pack consisting of important notes related to this course, and a certificate after course completion.
Sentiment Analysis Certification courses equip you with practical skills in data analysis, enhance your understanding of customer sentiments, boost career prospects in data-driven roles, and demonstrate your expertise to employers.
No specific qualifications are required for this online training. However, a basic understanding of data analysis and familiarity with programming languages like Python or R can be helpful for better comprehension.
The Knowledge Academy provides flexible self-paced training for this course. Self-paced training is beneficial for individuals who have an independent learning style and wish to study at their own pace and convenience.
Yes, we provide corporate training for this course, tailored to fit your organisation’s requirements.
The course is designed to be accessible to all levels, making it suitable for both beginners and experienced professionals. It covers foundational concepts while offering in-depth insights into personal and organisational growth strategies.
No prior experience is necessary to take this online course. However, a basic understanding of data analysis and familiarity with programming concepts can enhance your learning experience.
If you are unable to access your training, contact the support team at The Knowledge Academy via their customer service email or phone number provided on their website for prompt assistance and resolution of your issue.
In this Sentiment Analysis Course, you will learn key skills such as data collection and preprocessing, natural language processing (NLP) techniques, sentiment classification, text mining, and interpreting analysis results to make informed decisions.
Some common challenges addressed in Sentiment Analysis Course training include handling unstructured data, dealing with language nuances and ambiguity, improving sentiment classification accuracy, and managing large datasets efficiently.
Yes, after completing this course you will receive a certificate of completion to validate your achievement and demonstrate your proficiency in the course material.
Yes, this Sentiment Analysis course is suitable for individuals at various career stages, from beginners seeking to learn the basics to experienced professionals aiming to enhance their data analysis and natural language processing skills.
The Knowledge Academy in Charlotte stands out as a prestigious training provider known for its extensive course offerings, expert instructors, adaptable learning formats, and industry recognition. It's a dependable option for those seeking this course.
The training fees for Sentiment Analysis Trainingin Charlotte starts from $1295
The Knowledge Academy is the Leading global training provider for Sentiment Analysis Training.
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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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