textacy | NLP , before and after spaCy | Natural Language Processing library

by chartbeat-labs Python Version: 0.13.0 License: Non-SPDX

X-Ray Key Features Code Snippets(1)Community Discussions(6)Vulnerabilities Install Support

kandi X-RAY | textacy Summary

textacy is a Python library typically used in Telecommunications, Media, Media, Entertainment, Artificial Intelligence, Natural Language Processing applications. textacy has no bugs, it has no vulnerabilities and it has high support. However textacy build file is not available and it has a Non-SPDX License. You can install using 'pip install textacy' or download it from GitHub, PyPI.

textacy is a Python library for performing a variety of natural language processing (NLP) tasks, built on the high-performance spaCy library. With the fundamentals --- tokenization, part-of-speech tagging, dependency parsing, etc. --- delegated to another library, textacy focuses primarily on the tasks that come before and follow after.

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Quality

Security

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Support

textacy has a highly active ecosystem.

It has 2071 star(s) with 255 fork(s). There are 91 watchers for this library.

It had no major release in the last 12 months.

There are 29 open issues and 230 have been closed. On average issues are closed in 171 days. There are 3 open pull requests and 0 closed requests.

It has a positive sentiment in the developer community.

The latest version of textacy is 0.13.0

Quality

textacy has 0 bugs and 0 code smells.

Security

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

textacy code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

textacy has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

textacy releases are available to install and integrate.

Deployable package is available in PyPI.

textacy has no build file. You will be need to create the build yourself to build the component from source.

textacy saves you 6506 person hours of effort in developing the same functionality from scratch.

It has 14919 lines of code, 1066 functions and 142 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

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

Aggregate term variations
Adds data to the corpus
Adds a doc to the corpus
Adds a valid doc
Create a termite plot
Draw a termite plot
Convert val into a collection
Return a list of stop words
Get the top n terms from the given score
Insert word synonyms
Return a list of entities
Return a list of all subjects of a document
Return a bag of terms from a document
Builds a cooccurrence network
Return a list of semistructures that match the given entity
Get all file paths in a directory
Return an iterator of n - grams
Train a model
Computes the text rank of a document
Extracts the direct quotation marks from a document
Compute a list of scake words
Build a networkx graph
Read a csv file
Write data to file
Compute sgrank
Download twitter ids data

Get all kandi verified functions for this library.

textacy Key Features

No Key Features are available at this moment for textacy.

textacy Examples and Code Snippets

Fuzzy Logic - Introduction-to-NLP,To be able to use these notebooks you will need to have installed Anaconda and got a Python data science environment set up on your laptop.

Jupyter Notebook

Lines of Code : 3

License : No License

Copy

conda install -c conda-forge spacy

python -m spacy download en

conda install -c conda-forge textacy

Community Discussions

Trending Discussions on textacy

How to return an empty value or None on pandas dataframe?

I have a problem removing duplicates from a list

Extracting Verb Phrase from Sentence

How to improve textacy.extract.semistructured_statements() results

Bot can't handle multiple request parallel to function (discord.py)

Textacy has no module preprocess or normalize whitespace

QUESTION

How to return an empty value or None on pandas dataframe?

Asked 2021-Aug-03 at 11:59

SAMPLE DATA: https://docs.google.com/spreadsheets/d/1s6MzBu5lFcc-uUZ9B6CI1YR7P1fDSm4cByFwKt3ckgc/edit?usp=sharing

I have this function that uses textacy to extract the source attribution. This automatically returns the speaker, cue and content of the quotes. In my dataset, some paragraphs have several quotations, but I only need the first one, that's why I put the BREAK in the for loop.

My problem now is that some of original data do not have quotation, so I was hoping that not only will the function skip it, it will also return something. I believe the problem is after the EXCEPT:

It returns something like this:

But its supposed to skip the first line because the first line returns an error so Im hoping for it to look like this:

...

ANSWER

Answered 2021-Aug-03 at 11:59

I did this to solve the problem. Had to append both instances at Try and Except.

Source https://stackoverflow.com/questions/68634311

QUESTION

I have a problem removing duplicates from a list

Asked 2020-Jun-17 at 10:39

Having a brain-fart here probably. I'm getting a list using generators and I have trouble removing duplicates from my list the usual way using set

...

ANSWER

Answered 2020-Jun-17 at 10:39

That's because the the items in your list aren't strings, so they aren't actually duplicates.

Source https://stackoverflow.com/questions/62426331

QUESTION

Extracting Verb Phrase from Sentence

Asked 2020-Jun-07 at 07:13

I am trying to extract verb and verb phrases from a column containing sentences for this purpose i have created a function called tagging. Here's my code:

...

ANSWER

Answered 2020-Jun-04 at 09:46

Try this:

Source https://stackoverflow.com/questions/62191597

QUESTION

How to improve textacy.extract.semistructured_statements() results

Asked 2020-Apr-22 at 20:10

For this project, I am using the Wikipedia, spacy, and textacy.extract modules.

I used the wikipedia module to grab the page I set my subject to. It will returns a string of its contents.

Then, I use the textacy.extract.semistructured_statements() to filter out facts. It takes in two required args. The first one is the document, and the second one is the entity.

For testing purposes, I have tried setting the subject to Ubuntu and Bill Gates.

...

ANSWER

Answered 2020-Apr-22 at 20:10

Would like to thank gabriele m. For giving me direction.

I added ["It","he","she","they"] which I saw in neuralcoref module example.

The below code will do a job for you

Source https://stackoverflow.com/questions/61070395

QUESTION

Bot can't handle multiple request parallel to function (discord.py)

Asked 2020-Apr-06 at 18:11

I am trying to make my discord bot respond to more than one person at a time. One of my functions interacts with the spacy module and process big chunks of text. If the function is called once, and once again it ultimately ends up freezing up my bot because it is trying to process the first request.

...

ANSWER

Answered 2020-Apr-06 at 18:11

I fixed this by creating another async function and it would be called when the main event was triggered.

Source https://stackoverflow.com/questions/61052826

QUESTION

Textacy has no module preprocess or normalize whitespace

Asked 2020-Apr-06 at 17:15

Sudden problems with textacy

...

ANSWER

Answered 2020-Apr-06 at 17:15

This method is located at textacy.preprocessing, cf here and here, so you'll have to change the code to:

Source https://stackoverflow.com/questions/61034000

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

Vulnerabilities

No vulnerabilities reported

Install textacy

You can install using 'pip install textacy' or download it from GitHub, PyPI.
You can use textacy 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

Download: https://pypi.org/project/textacyDocumentation: https://textacy.readthedocs.ioSource code: https://github.com/chartbeat-labs/textacyBug Tracker: https://github.com/chartbeat-labs/textacy/issues

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