Training on Text Analytics with Natural Language Processing (NLP)

Module 1: Unlocking the World of Natural Language Processing (NLP)

• Discover how machines understand human language
• What NLP is and why it matters
• Tokenization, stemming, lemmatization & stop-word removal
• NLP applications across industries
• Case Study:How global tech companies use NLP for personalization and automation
• Practical Session:Build a simple preprocessing workflow (tokenization & stop-word removal)

Module 2: Transforming Raw Text Into Usable Data – Text Preprocessing

• Prepare and refine text for deeper analysis
• Text cleaning and normalization
• Handling incomplete or noisy text
• Bag-of-Words & TF-IDF
• N-grams and basic language models
• Case Study:Cleaning and preparing social media data for large-scale analysis
• Practical Session:Clean a real text dataset and generate TF-IDF & N-gram features

Module 3: Crafting Powerful Features – Feature Engineering for Text

• Turn text into meaningful numerical insights
• Text feature extraction
• Feature selection & dimensionality reduction
• Word embeddings (Word2Vec, GloVe)
• Case Study:Use of text embeddings in detecting patterns for fraud prevention
• Practical Session:Train Word2Vec and explore word similarity relationships

Module 4: Building Intelligent Models – Text Classification & Sentiment Analysis

Develop models that read and interpret language

• Supervised text classification
• Naive Bayes, SVM, Random Forest
• Sentiment analysis techniques
• Model performance metrics
• Case Study:Sentiment analysis for brand monitoring and customer insights
• Practical Session:Build and evaluate a sentiment classifier using real text data

Module 5: Exploring Cutting-Edge NLP

Step into advanced and emerging NLP technologies

• Named Entity Recognition (NER)
• Text summarization
• Information retrieval
• Natural Language Generation (NLG)
• Case Study:Automated summarization and entity extraction in news intelligence
• Practical Session:Extract named entities and generate short text summaries