regexv | Regex using word embeddings for text matching | Natural Language Processing library

by BYU-PCCL Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | regexv Summary

regexv is a Python library typically used in Artificial Intelligence, Natural Language Processing, Bert applications. regexv has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Regex using word embeddings for text matching.

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Quality

Security

License

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Support

regexv has a low active ecosystem.

It has 8 star(s) with 0 fork(s). There are 5 watchers for this library.

It had no major release in the last 6 months.

regexv has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of regexv is current.

Quality

regexv has no bugs reported.

Security

regexv has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

regexv 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

regexv releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

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

Top functions reviewed by kandi - BETA

kandi has reviewed regexv and discovered the below as its top functions. This is intended to give you an instant insight into regexv implemented functionality, and help decide if they suit your requirements.

Wrap a method
Computes the neighbor expansion of source words
Expand a pattern
Calculate the Mahalanobis expansion
Validate a list of words
Compute the bounding box of the source words
Performs centroid expansion on source words
Compile a file into a new file

Get all kandi verified functions for this library.

regexv Key Features

No Key Features are available at this moment for regexv.

regexv Examples and Code Snippets

No Code Snippets are available at this moment for regexv.

Community Discussions

Trending Discussions on regexv

Regular Expression In Oracle ADF

output of beautiful soup nested loop vertically into dataframe

QUESTION

Regular Expression In Oracle ADF

Asked 2018-Oct-09 at 07:03

I am using Regular Expression to allow all the Special Characters along with Numbers and alphabets in java based ORACLE ADF. Following is my Regular Expression:

...

ANSWER

Answered 2018-Oct-09 at 07:03

Your current regex does not match a string containing - because [)-+] matches ), * and +. The double quoted string literal seems to be the culprit, too.

You need to define the pattern inside single quotes and put the hyphen at the end of the character class:

Source https://stackoverflow.com/questions/52703557

QUESTION

output of beautiful soup nested loop vertically into dataframe

Asked 2018-May-04 at 05:03

How do I place the output of this web scrape (data) into a pandas DataFrame? The code below only displays one 'row' of data, and it is in a vertical arrangement. How do I make DataFrame look exactly like print(data) - ie. horizontal? Also, I'm such a newb - this is so 'not pythonic'. Please suggest how to make this into functions(?) ? I tried all sort of append and concat functions, but the nested looping is throwing everything into error. Please help.
Thank you in advance.

...

ANSWER

Answered 2018-May-04 at 05:03

You can use:

Source https://stackoverflow.com/questions/50166927

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

Vulnerabilities

No vulnerabilities reported

Install regexv

You can download it from GitHub.
You can use regexv like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

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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