Course Description
From NLP foundations to choosing and developing algorithms, this course helps your data science team upskill in the field of natural language processing. We’ll explore how computers process language and the ways NLP solutions can serve your business. We’ll also address choosing algorithms that best meet your team’s needs.
Course Outcomes
Upon completion of the course, attendees should be able to:
Evaluate and discover opportunities for NLP solutions
Build a pipeline to prepare text for NLP applications
Create NLP solutions for your business
Training Content
DAY 1:
Natural Language Processing
Introduction, text processing overview
Steps in an NLP Solution
Common applications and solution types
DAY 2:
Text Processing
Tokenization, Segmentation, N-grams
Similarity measures
Stop words
Stemming and Lemmatization
Chunking and Part-of-speech tagging
Bag of words, vectorization, TF-IDF
DAY 3:
Creating Insights
Text Clustering, Topic Modeling, and Sentiment Analysis
Latent Semantic Analysis, Latent Dirichlet Allocation, Matrix factorization
Deep Learning approaches, Word2Vec, Text Generation
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