Descriptions
Natural Language Processing in Python, The majority of data is unstructured. This includes information recorded in books, online articles, and audio files. In this track, you’ll gain the core Natural Language Processing (NLP) skills you need to convert that data into valuable insights—from learning how to automatically transcribe TED talks through to identifying whether a movie review is positive or negative. Along the way, you’ll be introduced to popular NLP Python libraries, including NLTK, scikit-learn, spaCy, and SpeechRecognition. By the end of the track, you’ll be ready to transcribe audio files and understand how to extract insights from real-world sources, including Wikipedia articles, online review sites, and data from a flight booking system.
What you’ll learn
- Learn fundamental natural language processing techniques using Python and how to apply them to extract insights from real-world text data.
- Master the core operations of spaCy and train models for natural language processing. Extract information from unstructured data and match patterns.
- Learn how to load, transform, and transcribe speech from raw audio files in Python.
Specificatoin of Natural Language Processing in Python
- Publisher : Datacamp
- Teacher : Katharine Jarmul
- Language : English
- Level : All Levels
- Number of Course : 5
- Duration: 20h
Content of Natural Language Processing in Python
Pictures
Sample Clip
Installation Guide
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Subtitle : English
Quality: 720p
Download Links
Feature Engineering for NLP in Python
Introduction to Natural Language Processing in Python
Natural Language Processing with spaCy
Sentiment Analysis in Python
Spoken Language Processing in Python
Password file(s): www.downloadly.ir
File size
404 MB