Welcome to our user-friendly guide on Reductio, a powerful tool for extracting keywords and summarizing text seamlessly. Whether you are a developer, writer, or data analyst, Reductio can help you streamline your work by identifying crucial information in your texts.

Overview of Reductio

Reductio is based on the well-known TextRank algorithm, making it an efficient solution for keyword extraction and summarization tasks.

Installation Guide

To begin using Reductio, you’ll first need to install it. Here’s how to do it using different package managers:

Swift Package Manager

Package(url: "https://github.com/fdzsergio/reductio.git", majorVersion: 1)

Cocoapods

To install via CocoaPods, add the following line to your Podfile:

pod 'Reductio'

Carthage

Add Reductio to your Cartfile:

github "fdzsergio/Reductio"

Usage of Reductio

Once installed, you can easily use Reductio for text processing. Let’s say you have a text snippet, as follows:

“Oculus rarely brags about its industrial design, but one of the best things it’s done is make something so stereotypically geeky look (relatively) natural…”

Here’s how to extract keywords and summarize this text:

Keyword Extraction

let words = Reductio.keywords(text, count: 5)

This command will yield keywords like [rift, oculus, headset, best, design]. Imagine a librarian finding the most relevant books in a huge library based on a few search terms—this is how Reductio picks out significant keywords!

Summarization

let phrases = Reductio.summarize(text, compression: 0.80)

The result could be summary phrases extracted from the original text. Think of it like gathering the essential points from a long conversation, distilling it down to the crux of the matter.

Troubleshooting

If you run into issues while using Reductio, consider these troubleshooting steps:

• Ensure you have the latest version of the package manager you are using.
• Check if your text input is correctly formatted and does not contain any unsupported characters.
• If you are not getting expected outputs, experiment with the parameters in the API calls.

For more insights, updates, or to collaborate on AI development projects, stay connected with fxis.ai.

Conclusion

At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.

Acknowledgements

Special thanks to @cristinareina for her fantastic logo design.

License

Reductio is available under the MIT license. You can find more details in the LICENSE file.

Contact Author

For further queries, contact the author Sergio Fernández at fdz.sergio@gmail.com.