Question 1

How do I extract dates and times from text using compromise?

Accepted Answer

Install the compromise-dates plugin, then use methods like .dates() and .times() to identify and format temporal data. For example, nlp('June 8th').dates().get() returns structured JSON with start and end points.

Question 2

Compromise vs NLP.js: which is better for JavaScript?

Accepted Answer

Compromise is lighter and faster, ideal for client-side or real-time applications, while NLP.js offers more features and broader language support but with a larger bundle size. Choose based on your priority for speed versus comprehensiveness.

Question 3

Can compromise handle real-time text input in a web app?

Accepted Answer

Yes, its performance is optimized for real-time use; the README shows it can run on keypress and process ~1mb of text per second. This makes it suitable for interactive features like live grammar checks or chatbots.

Question 4

How do I add custom words or tags to compromise?

Accepted Answer

Use the .extend() method or nlp.addWords() to inject new lexicon entries. For instance, nlp.addWords({ kermit: 'FirstName' }) ensures 'kermit' is tagged correctly, and you can build plugins for more complex extensions.

Question 5

Is compromise suitable for server-side Node.js applications?

Accepted Answer

Yes, it works in Node.js environments and can handle moderate-scale text processing. However, for heavy-duty server-side NLP, consider that it lacks some advanced features found in Python-based libraries like spaCy.

Question 6

Does compromise support dependency parsing for sentence structure?

Accepted Answer

No, dependency parsing is listed as a limitation in the README; it focuses on tokenization and tagging instead. For syntax tree analysis, you'd need to integrate other tools or rely on its more basic phrase chunking.

NLP Compromise

What is NLP Compromise?

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