Sentiment Analysis Training | Personal Development Training in Colorado Springs

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