Summary:

You can write simple instructions in AI spreadsheet header:

"Extract URLs from #A"

In 1 second, all your data is processed!

Explanation:

To extract URLs from text data using AI, you can follow these steps:

1. Use a natural language processing (NLP) tool like spaCy or NLTK to tokenize the text data into individual words and sentences.
2. Train a machine learning model on a dataset of text data that contains URLs. This model should be able to recognize patterns in the text that indicate the presence of a URL.
3. Once the model is trained, you can use it to predict whether a given word or sentence in the text data is a URL or not.
4. Iterate through the text data and use the model to identify and extract any URLs that are present.
5. You can then store the extracted URLs in a separate list or database for further analysis or processing.

By following these steps, you can effectively use AI to extract URLs from text data.

Try it now at CapGo.AI