3 amazing Python Libraries for text processing

AssemblyAI · Intermediate ·🧠 Large Language Models ·3y ago

Key Takeaways

The video showcases three Python libraries for text processing: Date Finder, Num2Words, and WordNinja, demonstrating their capabilities in finding dates, converting numbers to words, and splitting concatenated words.

Full Transcript

in this video i show you three amazing python libraries for text processing the first is date finder which lets you find dates in text so here we have an example text with two dates and then we can call find dates and give it the text and now we can iterate over the matches and you see this found two dates in the text the next is num to words which lets you convert numbers to words so you can give it a float or an integer and then you see this in text form you can also use different options like year ordinal ordinal num or currency and the last one is word ninja that lets you split concatenated words so if you have a string like this we can call word ninja split and now we get a list with all the separate words and this works super well we can then join the spec into one string with the dot join method and now we have a string with spaces

Original Description

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This video teaches you how to use three amazing Python libraries for text processing, including Date Finder, Num2Words, and WordNinja, to extract dates, convert numbers to words, and split concatenated words. These libraries can be used to improve text analysis and processing capabilities. By following the examples in the video, you can learn how to implement these libraries in your own projects.

Key Takeaways
  1. Install the Date Finder library
  2. Use Date Finder to extract dates from text
  3. Install the Num2Words library
  4. Use Num2Words to convert numbers to words
  5. Install the WordNinja library
  6. Use WordNinja to split concatenated words
💡 These libraries can be used to improve text analysis and processing capabilities, and can be easily integrated into larger projects.

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