Sentiment Analysis on Social Media
( 30 Modules )

Module #1
Introduction to Sentiment Analysis
Defining sentiment analysis, its importance in social media, and real-world applications

Module #2
Understanding Social Media Data
Characteristics of social media data, data sources, and data quality issues

Module #3
Sentiment Analysis Fundamentals
Basic concepts of sentiment analysis, including sentiment, emotion, and opinion

Module #4
Types of Sentiment Analysis
Exploring different types of sentiment analysis:binary, multi-class, aspect-based, and emotion detection

Module #5
Dataset Collection and Preparation
Collecting and preprocessing social media data for sentiment analysis

Module #6
Text Preprocessing Techniques
Tokenization, stemming, lemmatization, stopword removal, and text normalization

Module #7
Feature Extraction Methods
Bag-of-words, TF-IDF, word embeddings, and other feature extraction techniques

Module #8
Machine Learning for Sentiment Analysis
Introduction to machine learning, supervised and unsupervised learning, and evaluation metrics

Module #9
Classical Machine Learning Algorithms
Naive Bayes, Logistic Regression, Decision Trees, Random Forest, and Support Vector Machines

Module #10
Deep Learning for Sentiment Analysis
Introduction to deep learning, Convolutional Neural Networks (CNN), and Recurrent Neural Networks (RNN)

Module #11
Word Embeddings and Language Models
Word2Vec, GloVe, BERT, and other language models for sentiment analysis

Module #12
Aspect-Based Sentiment Analysis
Identifying and analyzing sentiment towards specific aspects or entities

Module #13
Emotion Detection and Analysis
Detecting and analyzing emotions in social media text, including Ekmans emotions and Plutchiks wheel

Module #14
Sentiment Analysis Tools and Libraries
Overview of popular tools and libraries:NLTK, spaCy, Stanford CoreNLP, and tweepy

Module #15
Social Media Platforms and APIs
Working with Twitter API, Facebook API, Instagram API, and other social media platforms

Module #16
Handling Imbalanced Datasets
Techniques for handling class imbalance, including oversampling, undersampling, and ensemble methods

Module #17
Evaluating Sentiment Analysis Models
Metrics for evaluating sentiment analysis models, including accuracy, F1-score, and ROCAUC

Module #18
Advanced Topics in Sentiment Analysis
Multi-modal sentiment analysis, sarcasm detection, and humor detection

Module #19
Case Studies in Sentiment Analysis
Real-world applications of sentiment analysis in marketing, healthcare, and finance

Module #20
Ethical Considerations in Sentiment Analysis
Privacy, bias, and accountability in sentiment analysis, and fair and transparent AI practices

Module #21
Sentiment Analysis in Industry
How companies are using sentiment analysis, including use cases and success stories

Module #22
Sentiment Analysis Project Development
Guided project development, including dataset selection, model development, and deployment

Module #23
Sentiment Analysis Project Presentations
Student presentations of their projects, with feedback and discussion

Module #24
Advanced Machine Learning Topics
Transfer learning, domain adaptation, and ensemble methods for sentiment analysis

Module #25
Specialized Sentiment Analysis Topics
Sentiment analysis for specific domains, such as politics, sports, or entertainment

Module #26
Multimodal Sentiment Analysis
Analyzing sentiment from multiple modalities, including text, image, and video

Module #27
Sentiment Analysis for Streaming Data
Real-time sentiment analysis for streaming social media data

Module #28
Explainable Sentiment Analysis
Interpretable and explainable AI for sentiment analysis, including model interpretability techniques

Module #29
Comparative Study of Sentiment Analysis Tools
Comparing and evaluating different sentiment analysis tools and libraries

Module #30
Course Wrap-Up & Conclusion
Planning next steps in Sentiment Analysis on Social Media career

WIZAPE

ONLINE RESOURCES

ABOUT WIZAPE

ONLINE PORTAL

Our priority is to cultivate a vibrant community before considering the release of a token. By focusing on engagement and support, we can create a solid foundation for sustainable growth. Let’s build this together!

We're giving our website a fresh new look and feel! 🎉 Stay tuned as we work behind the scenes to enhance your experience.
Get ready for a revamped site that’s sleeker, and packed with new features. Thank you for your patience. Great things are coming!

CONTACT-US PRIVACY POLICY

Sentiment Analysis on Social Media ( 30 Modules )

Sentiment Analysis on Social Media
( 30 Modules )