Key Concepts

Review core concepts you need to learn to master this subject

Natural Language Processing

Language Models

Natural Language Toolkit

Text Similarity in NLP

Language Prediction in NLP

Natural Language Processing

Natural language processing (NLP) is concerned with enabling computers to interpret, analyze, and approximate the generation of human speech. Typically, this would refer to tasks such as generating responses to questions, translating languages, identifying languages, summarizing documents, understanding the sentiment of text, spell checking, speech recognition, and many other tasks. The field is at the intersection of linguistics, AI, and computer science.

Getting Started with Natural Language Processing
Lesson 1 of 1
  1. 1
    Intro to NLP
    Look at the technologies around us: - Spellcheck and autocorrect - Auto-generated video captions - Virtual assistants like Amazon’s Alexa - Autocomplete - Your news site’s suggested articles What …
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  2. 2
    Text Preprocessing
    “You never know what you have… until you clean your data.” ~ Unknown (or possibly made up) Cleaning and preparation are crucial for many tasks, and NLP is no exception. **_Text preprocessing…
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  3. 3
    Parsing Text
    You now have a preprocessed, clean list of words. Now what? It may be helpful to know how the words relate to each other and the underlying syntax (grammar). Parsing is an NLP process concern…
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  4. 4
    Language Models: Bag-of-Words
    How can we help a machine make sense of a bunch of word tokens? We can help computers make predictions about language by training a language model on a corpus (a bunch of example text). **_Langu…
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  5. 5
    Language Models: N-Gram and NLM
    For parsing entire phrases or conducting language prediction, you will want to use a model that pays attention to each word’s neighbors. Unlike bag-of-words, the n-gram model considers a sequ…
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  6. 6
    Topic Models
    We’ve touched on the idea of finding topics within a body of language. But what if the text is long and the topics aren’t obvious? Topic modeling is an area of NLP dedicated to uncovering l…
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  7. 7
    Text Similarity
    Most of us have a good autocorrect story. Our phone’s messenger quietly swaps one letter for another as we type and suddenly the meaning of our message has changed (to our horror or pleasure). Howe…
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  8. 8
    Language Prediction & Text Generation
    How does your favorite search engine complete your search queries? How does your phone’s keyboard know what you want to type next? Language prediction is an application of NLP concerned with …
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  9. 9
    Advanced NLP Topics
    Believe it or not, you’ve just scratched the surface of natural language processing. There are a slew of advanced topics and applications of NLP, many of which rely on deep learning and neural netw…
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  10. 10
    Challenges and Considerations
    As you’ve seen, there are a vast array of applications for NLP. However, as they say, “with great language processing comes great responsibility” (or something along those lines). When working wit…
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  11. 11
    NLP Review
    Check out how much you’ve learned about natural language processing! - Natural language processing combines computer science, linguistics, and artificial intelligence to enable computers to process…
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