Natural Language Processing - Probability Models in Python: [Video]

Name: Natural Language Processing - Probability Models in Python [Video]
Brand: Packt
SKU: 9781836201854
Price: 2256.99 MXN
Availability: InStock

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Video Jun 2024 5 hours 11 minutes 1st Edition

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Key benefits

Comprehensive introduction to NLP techniques using Python
Detailed walkthroughs of spam detection, sentiment analysis, and text summarization
Advanced methods like TextRank and Latent Dirichlet Allocation (LDA)

Description

Beginning with an introduction and course outline, students are offered a special offer to kickstart their learning journey in this course. Initial sections guide you through the setup process and provide the necessary code resources. The course emphasizes strategies for success, ensuring learners are well-prepared from the start. The course delves into spam detection, beginning with a problem description and intuition behind Naive Bayes. Participants engage in exercises and learn to address class imbalance while evaluating models using ROC, AUC, and F1 scores. Practical implementation in Python solidifies understanding. Following this, the course transitions to sentiment analysis, covering problem description, logistic regression, and training. Exercises and Python-based projects enable learners to apply concepts effectively. Text summarization is thoroughly explored with sections on vector-based methods and TextRank, from basic to advanced levels. Practical Python sessions ensure learners can implement these techniques. The course culminates with topic modeling, introducing LDA and NMF methods, complemented by Python coding exercises. A deep dive into Latent Semantic Analysis and applying SVD in NLP wraps up the curriculum, ensuring a well-rounded expertise in NLP.

What you will learn

Identify and implement spam detection algorithms Conduct sentiment analysis using logistic regression Perform text summarization using various methods Apply advanced techniques like TextRank for summarization Understand and implement topic modeling with LDA and NMF Utilize Latent Semantic Analysis in Python projects