term-vector | js module that creates a term vector | Natural Language Processing library

by fergiemcdowall JavaScript Version: 1.0.0 License: MIT

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | term-vector Summary

term-vector is a JavaScript library typically used in Artificial Intelligence, Natural Language Processing applications. term-vector has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can install using 'npm i term-vector' or download it from GitHub, npm.

A node.js module that creates a term vector from a mixed text input. Supports stopword removal and customisable separators.

Support

Quality

Security

License

Reuse

Support

term-vector has a low active ecosystem.

It has 18 star(s) with 1 fork(s). There are 3 watchers for this library.

It had no major release in the last 12 months.

There are 1 open issues and 1 have been closed. On average issues are closed in 24 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of term-vector is 1.0.0

Quality

term-vector has 0 bugs and 0 code smells.

Security

term-vector has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

term-vector code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

term-vector is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

term-vector releases are not available. You will need to build from source code and install.

Deployable package is available in npm.

Installation instructions are not available. Examples and code snippets are available.

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term-vector Key Features

No Key Features are available at this moment for term-vector.

term-vector Examples and Code Snippets

No Code Snippets are available at this moment for term-vector.

Community Discussions

Trending Discussions on term-vector

Elasticsearch - count word occurrences in all texts from index

QUESTION

Elasticsearch - count word occurrences in all texts from index

Asked 2021-Oct-27 at 07:40

I need to get a count of word X from all texts in index Y, which has only one field "content". Note that I need a count of specific word, how many times it occurred in total across all documents. From what I've found ES is not well optimized for this (since this is a text type), but this is for university homework, so I have little choice.

So far I've tried (taken from here):

...

ANSWER

Answered 2021-Oct-26 at 23:33

In the Elasticsearch 7.11 anonsed runtime_mappings. With this feature you could build new field in runtime and after that count the words in all your documents with regular "sum" aggregation.

For example:

Source https://stackoverflow.com/questions/69730079

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install term-vector

You can install using 'npm i term-vector' or download it from GitHub, npm.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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