stylometry | A Stylometry Library for Python

by jpotts18 Python Version: 0.1.0 License: Non-SPDX

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

kandi X-RAY | stylometry Summary

stylometry is a Python library. stylometry has no vulnerabilities, it has build file available and it has low support. However stylometry has 1 bugs and it has a Non-SPDX License. You can install using 'pip install stylometry' or download it from GitHub, PyPI.

Stylometry is the application of the study of linguistic style, usually to written language, but it has successfully been applied to music and to fine-art paintings as well. Stylometry is often used to attribute authorship to anonymous or disputed documents. Stylometry has legal, academic, and literary applications, which include determination of the true authorship of some of Shakespeare's works and forensic linguistics.

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stylometry has a low active ecosystem.

It has 103 star(s) with 29 fork(s). There are 6 watchers for this library.

It had no major release in the last 12 months.

There are 2 open issues and 7 have been closed. On average issues are closed in 913 days. There are 3 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of stylometry is 0.1.0

Quality

stylometry has 1 bugs (0 blocker, 0 critical, 0 major, 1 minor) and 56 code smells.

Security

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

stylometry code analysis shows 0 unresolved vulnerabilities.

There are 4 security hotspots that need review.

License

stylometry 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

stylometry releases are available to install and integrate.

Deployable package is available in PyPI.

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

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

stylometry saves you 195 person hours of effort in developing the same functionality from scratch.

It has 480 lines of code, 59 functions and 8 files.

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

Top functions reviewed by kandi - BETA

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

Prints text output .
Return a nicely formatted string .
Plot the explained variance plot
download the content of the given row
Predict classifier .
Output csv output to a csv file .
Create plot of stylometry data .
Create a dictionary of StyloDocument objects from a glob pattern .
Plot the clusters
Runs gutenberg .

Get all kandi verified functions for this library.

stylometry Key Features

No Key Features are available at this moment for stylometry.

stylometry Examples and Code Snippets

No Code Snippets are available at this moment for stylometry.

Community Discussions

Trending Discussions on stylometry

Plotting two nltk freqdists

output differences between 2 texts when lines are dissimilar

QUESTION

Plotting two nltk freqdists

Asked 2019-Sep-14 at 21:07

I have been following the stylometry tutorial that can be found here(programminghistorian.com). This uses matplotlib to plot the frequency distribution of some text. The relevant code is below:

...

ANSWER

Answered 2018-Oct-20 at 22:40

I don't see anything in the source of FreqDist that would force opening a new window. (Let's ignore for now that the source uses pylab instead of pyplot for no good reason; this is a very bad practice).

I suspect what's going on is that the final pylab.show() call pops up the figure window with the first plot, and blocks until this first figure is closed. If this is the case, calling plt.ion() at the start in order to enable interactive mode might make the call to show() non-blocking, and you'll get your plots in the same single figure as expected.

Source https://stackoverflow.com/questions/52910655

QUESTION

output differences between 2 texts when lines are dissimilar

Asked 2017-Jul-11 at 19:10

I am relatively new to Python so apologies in advance for sounding a bit ditzy sometimes. I'll try took google and attempt your tips as much as I can before asking even more questions. Here is my situation: I am working with R and stylometry to find out the (likely) authorship of a text. What I'd like to do is see if there is a difference in the stylometry of a novel in the second edition, after one of the (assumed) co-authors died and therefore could not have contributed. In order to research that I need

Text edition 1
Text edition 2

and for python to output

words that appear in text 1 but not in text 2
words that appear in text 2 but not in text 1

And I would like to have the words each time they appear so not just 'the' once, but every time the program encounters it when it differs from the first edition (yep I know I'm asking for a lot sorry)

I have tried approaching this via

...

ANSWER

Answered 2017-Jul-05 at 16:31

Let me know if this isn't exactly what you're looking for, but it seems like you want to iterate through lines of a file, which you can do very easily in python. Here's an example, where I omit the newline character at the end of each line, and add the lines to a list:

Source https://stackoverflow.com/questions/44931396

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

Vulnerabilities

No vulnerabilities reported

Install stylometry

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