Mastering Natural Language Processing Part 2: Unlocking Text Processing Techniques with Python
Mastering Natural Language Processing Part 2: Unlocking Text Processing Techniques with Python
Published 8/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 27m | Size: 89 MB
Video description
Understand Natural Language Processing (NLP) with "Mastering NLP Part 2," a comprehensive video series about text processing techniques.
Segment one delves deep into the concepts of stemming and lemmatization in NLP, unraveling their impact on language analysis. Grasp the significance of these techniques and their practical applications in real-world scenarios. In Segment two, the focus shifts to Python's robust string manipulation capabilities. It covers formatting, splitting, stripping, finding, encoding, and more. It concludes with segment 3 explaining the art of pattern matching, file handling, and additional text manipulation functionalities.
This video delivers a comprehensive understanding of text processing techniques, empowering viewers with the skills needed for NLP in diverse applications.
What you will learn;
Understand text processing techniques, with a focus on the nuanced concepts of stemmingand lemmatization.
What is formatting, splitting, stripping, finding, encoding
What are regular expressions, pattern matching, file handling, and additional text
manipulation functionalities.
What are the tools for efficient text processing.
Who this video is for
Data scientists, AI practitioners, IT and technology professionals, academics and researchers, and consultants.
DOWNLOAD
https://rapidgator.net/file/ec0ebe2008f0176aed6854465a6df61b/Mastering_Natural_Language_Processing_Part_2_Unlocking_Text_Processing_Techniques_with_Python.rar.html
https://ddownload.com/g7c3logs7u1f/Mastering_Natural_Language_Processing_Part_2_Unlocking_Text_Processing_Techniques_with_Python.rar
https://ddownload.com/g7c3logs7u1f/Mastering_Natural_Language_Processing_Part_2_Unlocking_Text_Processing_Techniques_with_Python.rar
