Text and Web Mining
( 25 Modules )

Module #1
Introduction to Text and Web Mining
Overview of text and web mining, importance, and applications

Module #2
Text Preprocessing
Tokenization, stopword removal, stemming, and lemmatization

Module #3
Text Representation
Bag-of-words, TF-IDF, and word embeddings (word2vec, GloVe)

Module #4
Text Classification
Naive Bayes, logistic regression, decision trees, and random forests

Module #5
clustering and Topic Modeling
K-means, hierarchical clustering, and topic modeling (Latent Dirichlet Allocation)

Module #6
Text Mining Applications
Sentiment analysis, opinion mining, and information extraction

Module #7
Introduction to Web Mining
Overview of web mining, types, and applications

Module #8
Web Crawling and Scraping
Basics of web crawling, scraping, and parsing HTML

Module #9
Web Page Representations
PageRank, HITS, and graph-based representations

Module #10
Link Analysis
Link analysis, PageRank, and HITS algorithms

Module #11
Web Content Mining
Mining web content, including text, images, and videos

Module #12
Web Structure Mining
Mining web structure, including graph mining and network analysis

Module #13
Web Usage Mining
Mining web usage patterns, including clickstream analysis

Module #14
Social Media Analytics
Social media analytics, including Twitter, Facebook, and Instagram

Module #15
Deep Learning for Text and Web Mining
Introduction to deep learning for text and web mining

Module #16
Convolutional Neural Networks for Text
Applying CNNs to text classification and sentiment analysis

Module #17
Recurrent Neural Networks for Text
Applying RNNs to text classification, sentiment analysis, and language modeling

Module #18
Graph Neural Networks for Web Mining
Applying GNNs to web graph analysis and node classification

Module #19
Big Data in Text and Web Mining
Handling big data in text and web mining using Hadoop and Spark

Module #20
Stream Processing for Text and Web Mining
Stream processing for text and web mining using Apache Kafka and Apache Flink

Module #21
Text and Web Mining for Information Retrieval
Applying text and web mining to information retrieval and search engines

Module #22
Text and Web Mining for Recommendation Systems
Applying text and web mining to recommendation systems

Module #23
Ethics and Privacy in Text and Web Mining
Ethical considerations and privacy concerns in text and web mining

Module #24
Case Studies in Text and Web Mining
Real-world case studies and applications of text and web mining

Module #25
Course Wrap-Up & Conclusion
Planning next steps in Text and Web Mining 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

Text and Web Mining ( 25 Modules )

Text and Web Mining
( 25 Modules )