Natural Language Processing in Python

อัปเดตแล้ว 03/2569

Learn how to transcribe, and extract exciting insights from books, review sites, and online articles with Natural Language Processing (NLP) in Python.

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คำอธิบายแทร็ก

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.

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Course
1
Natural Language Processing (NLP) in Python
Master text analysis with essential NLP techniques from preprocessing to advanced transformer models.
Course
3
Sentiment Analysis in Python
Are customers thrilled with your products or is your service lacking? Learn how to perform an end-to-end sentiment analysis task.
Course
4
Natural Language Processing with spaCy
Master the core operations of spaCy and train models for natural language processing. Extract information from unstructured data and match patterns.
Course
5
Spoken Language Processing in Python
Learn how to load, transform, and transcribe speech from raw audio files in Python.
Project
โบนัส
Analyzing Customer Support Calls
Transcribe customer support audio calls, evaluate sentiment, search in text and identify common entities to improve customer service!
Course
7
Feature Engineering for NLP in Python
Learn techniques to extract useful information from text and process them into a format suitable for machine learning.