Comments (2)
This is what GPT4 is saying:
"You are correct that the natural library is not designed to be used directly from the client-side in a browser environment. The main reason is that it was developed as a Node.js package, specifically targeting server-side usage. Node.js packages are built around the CommonJS module system, which relies on the require() function to import modules. This is not natively supported in browsers, which use the ECMAScript (ES) module system with import and export statements.
Additionally, some Node.js packages, like natural, may depend on other Node.js-specific features or APIs that are not available in the browser environment. This can make it challenging or even impossible to use such packages directly in the browser without modification.
To use a Node.js package like natural in a browser environment, you can use a bundler like Webpack or Browserify. These tools can bundle the required modules and their dependencies into a single JavaScript file that can be included in your HTML file using a script tag.
However, please note that using a bundler does not guarantee that all features of the library will work as expected, as there might still be compatibility issues between the Node.js package and the browser environment. In such cases, it's better to look for alternative libraries that are designed to work in a browser environment, like the compromise library mentioned in a previous response."
could someone confirm? sorry, not super familiar with the webdev environment
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Yes, you can use webpack to use Natural client side. See the webpack.config.js
that is in the root of the repo. It may well be a good starting point. I use the webpack configuration for testing in the browser using jasmineBrowser
.
from natural.
Related Issues (20)
- Bayes Classifier Restore Issue
- Release updated type declarations HOT 1
- Trying to import natural in TypeScript yields a linter error
- Missing typings for LevenshteinDistanceSearch as well as for DamerauLevenshteinDistanceSearch HOT 2
- Version 6.5.0 introduces a breaking change for sentence tokenizing HOT 2
- Error when using natural from deno using esm.sh HOT 1
- Enhancement: Stricter Typing for tag Field in BrillPOSTaggedWord Interface HOT 1
- Error in `natural.JaroWinklerDistance()` when missing optional `options` parameter
- natural.AggressiveTokenizerRu() doesn't filter out non-cyrillic characters HOT 1
- Bulk mode that is mindful of event loop HOT 2
- Check for Eszett symbol ß in German tokenizer HOT 1
- Noob Question. Challenge to devs? Help?
- Typo in docs HOT 1
- Load model with BayesClassifier and PorterStemmerEs HOT 2
- Cannot read properties of undefined (reading 'on') HOT 3
- AggressiveTokenizerUk doesn't exist. HOT 1
- Version 7.0.0 results in security vulnerability and deprecation warnings HOT 8
- BrowserFS Deprecated HOT 1
- Logistic Regression Classifier's load function incorrectly passing callback as stemmer HOT 1
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