fuzzyset.js VS nlp_compromise

I'm looking for a fuzzy search JavaScript library to filter an array. I've tried using fuzzyset.js and fuse.js, but the results are terrible (there are demos you can try on the linked pages).

> 2. How much can one reasonably expect to earn per user per month or year in your experience? (My extension is by no means mission critical but it solves a (simple) problem rather elegantly IMHO).

There's no way to tell for sure! It really depends on the value the extension provides, your market, exposure and reviews on the Chrome store, etc.

I can say that one of the extensions that uses ExtensionPay is a really simple utility that allows switching between recently used tabs in Chrome (https://chrome.google.com/webstore/detail/alt-%20-q-switch-r...) but users love it and it makes a surprising amount of money!

But all that is ultimately speculative for your extension. One reason I made ExtensionPay was to lower the barrier to making paid extensions enough so instead of speculating you could just try it out and see what happens!

> 1. Is there a socially acceptable path to go from free to non-free?

From what I've seen there will be a very loud but very small minority of users that will get angry and leave bad reviews. I think if you try to make these users happy (maybe by giving them free access?) and let the others know why you're asking them to pay then it will go alright. Here's what I wrote about charging for a previously-free JavaScript library: https://github.com/Glench/fuzzyset.js#license

To go around this problem, I leveraged the Natural Language Processing library we are using in the project (Compromise) to make sure that each chunk was less than a specified character length, and the chunks ended with a full sentence (as long as the sentence itself wasn't longer than the limit).

It's a part of the underpinnings of LUIS, Microsoft's Azure service for language understanding, and indeed part of building things like chatbots.

An interesting comparison is that Microsoft.Recognizers.Text is a cross-platform cousin to JS library compromise/one: https://compromise.cool/

I’m not sure how much my suggestions answer your original question, but in the pursuit of proper grammatical structure when trying to rewrite speech, compromise [0] might be of use to you. I’ve only played around with it for a few hours at most, but from my limited experience it is a very effective (if verbose and/or a little bloated in it’s API) tool for language analysis. With some tomfoolery I’m confident you could combine it with the GP’s recommendation of alexjs to replace strings slightly-less-naively.

https://github.com/spencermountain/compromise

(7) Compromise

yeah, i do know 2 libraries that do this so i'm gonna try them: sherlock.js & compromise dates

compromise is a great library for natural language processing which will run in React Native (it's pure javascript), though I believe it only understands English because it was populated using English vocabulary.

I discovered an excellent little natural-language-processing library for javascript called compromise.js. Integrating it into twine was not hard at all -- I just used the same techniques described in u/HiEv's Sample Code for integrating jQuery UI. Others have used this same library to develop parser game mechanics -- I am really excited about the possibility of a finished product where the player can execute commands by typing them in plain english.

Named Entity Extraction identifies entities like names, locations, or phone numbers inside a given text. Compromise is a JavaScript package that we can use that allows us to not only extract entities in a text but also identify what types of entities they are. Here is a sample program that allows you to enter a text file into the input field, and it would extract and identify any recognizable entities in that text.

I use a natural language processing library called compromise and a tiiiiny bit of RegEx here and there.