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The previous sections we worked with.

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However, we treated text as just a bunch of characters that have no meaning.

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For example, we search for a particular text pattern in a piece of text, for example, searching for

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the words was.

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When you do that, search using your regular expressions, which was the technique we used previously.

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You are searching for the exact words W a s.

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However, that might not be enough in some application areas, such as artificial intelligence.

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In those scenarios, you might want to do more intelligent searches.

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So to follow this example, in this case, you do also want to return a match if the text does not contain

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the words worse.

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Bots Another form of that word, for example, is.

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So those two verbs come from the same roots, the verb be so in artificial intelligence applications

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such as chatbots, for example, you would want to consider those words as similar.

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And this is a natural language.

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Processing comes in.

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It is a technique that takes into consideration the meaning of the words and doesn't just look at the

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words as a sequence of characters.

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So in this section, you learn how to perform natural language processing in Python and you learn all

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the top libraries that are needed to process natural language and offer this section.

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You apply the knowledge to build a chat bot that answers questions by getting information from Wikipedia

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articles.

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So it's quite an exciting app and very interesting videos.

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So thank you, and I'll talk to you in the next one.

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Get ready for this.