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Natural Language Processing in Python

Uppdaterad 2026-03
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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PythonMachine Learning20 timmar

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Spårbeskrivning

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.

Förkunskapskrav

Det finns inga förkunskapskrav för detta spår

  • 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.

  • Project

    Bonus

    Analyzing Customer Support Calls

    Transcribe customer support audio calls, evaluate sentiment, search in text and identify common entities to improve customer service!

Natural Language Processing in Python
5 courses
Spår
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Gå med över 19 miljoner elever och börja Natural Language Processing in Python idag!

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Genom att fortsätta accepterar du våra Användarvillkor, vår Integritetspolicy och att dina uppgifter lagras i USA.