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Sentiment Analysis Training Overview
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 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
Ways to take this course
Experience live, interactive learning from home with The Knowledge Academy's Online Instructor-led Sentiment Analysis Training. 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.
Live classes
Join a scheduled class with a live instructor and other delegates.
Interactive
Engage in activities, and communicate with your trainer and peers.
Global Pool of the Best Trainers
We handpick from a global pool of expert trainers for our Online Instructor-led courses.
Expertise
With 10+ years of quality, instructor-led training, we equip professionals with lasting skills for success.
Global Reach
With classes running in all timezones, access any of our courses and course material from anywhere, anytime.
Unlock your potential with The Knowledge Academy's Sentiment Analysis Training, 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 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 the United States 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 the United States starts from $1295
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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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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