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 Mumbai 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.

Mumbai is situated within the West Coast of India, as well as it being the capital of Maharashtra, it plays an important part within the global economics system. Bombay as the city was previously known as, up until 1995 is also known as an alpha world city and has the largest number of millionaires and billionaires across India, with it therefor being noted as the wealthiest city in India. Mumbai is home to around 18.4 million people and is regarded as the second largest metropolitan population within India as of the record in 2011 with 20.7 million people. Schools and Colleges within Mumbai can be found within the city as well as the suburbs and are either run privately, by the government or the Brihanmumbai Municipal Corporation. Secondary schools are operated by the MCGM primary education system to which it is schooling around 485,531 students in 1,188 primary schools and around 55,576 students in 49 secondary schools within eight different languages these being English, Hindi, Urdu, Kannada, Marathi, Tamil, Gujarati and Telugu. Colleges offer students opportunities to participate within Junior college level, undergraduate level, BCom, BSc and BA courses. As stated by the 10+2+3/4 plan students complete ten years at school to then go on to a junior college and study either science, commerce or arts and they complete that over a two year period. University courses at a degree level are offered in a wide range of different subjects such as engineering, law, media, applied arts and architecture, management, dental, pharmacy as well as Commerce and Science. There are a few universities and colleges within Mumbai and these are the University Institute of Chemical Technology, Indian Institute of Technology (Bombay), SNDT Women’s University, Government Law college, Veermata Jijabai Technological Institute, Narsee Monejee Institute of Management Studies, Sir J. J. School of Art which is the oldest art institution within Mumbai along the Thadomal Shahani Engineering College which is also the oldest private engineering college and the first of its kind to join up with the University of Mumbai to be able to give students the chance to learn about the biomedical engineering, computer engineering, biotechnology and information technology. The University of Mumbai is regarded to be one of the premier universities within India with achievements such as being placed within the top 50 engineering schools of the world ranking at 41 by the American Business Insider within 2013 as well as excelling as the 3rd best multi-disciplinary university within the QS university rankings within India.   

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Address

Safal Institute 
613, Corporate Centre
Nirmal Lifestyles Mall
LBS Marg
Mulund (W)
Mumbai 400080

T: +918037244591

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 Mumbai. 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 Mumbai, 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 Mumbai. 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 Mumbai sessions.

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Highly experienced trainers

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

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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

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Small class sizes

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

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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

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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Tailored learning experience

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

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Maximise your training budget

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

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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 Mumbai 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 Mumbai 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 Mumbai starts from INR134995
The Knowledge Academy is the Leading global training provider for Sentiment Analysis Training.
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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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