twitter_markov | Create markov chain accounts on Twitter

by fitnr Python Version: v0.6.0 License: GPL-3.0

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

kandi X-RAY | twitter_markov Summary

twitter_markov is a Python library. twitter_markov has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has low support. You can install using 'pip install twitter_markov' or download it from GitHub, PyPI.

Create markov chain ("_ebooks") accounts on Twitter. The audience for this library is those with at least basic Python experience. Before you set this up, you’ll need: * A twitter account * A twitter application (register at [dev.twitter.com] with authentication keys for the account ([read more] * A text for the bot to learn from, which can be a text file or a Twitter archive. Several thousand lines are needed to get decent results, with fewer than 100 or so it won’t work at all.

Support

Quality

Security

License

Reuse

Support

twitter_markov has a low active ecosystem.

It has 57 star(s) with 9 fork(s). There are 4 watchers for this library.

It had no major release in the last 12 months.

There are 1 open issues and 13 have been closed. On average issues are closed in 92 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of twitter_markov is v0.6.0

Quality

twitter_markov has 0 bugs and 0 code smells.

Security

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

twitter_markov code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

twitter_markov is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

twitter_markov 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 available. Examples and code snippets are not available.

Top functions reviewed by kandi - BETA

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

Function to create a tweet
Compose a sentence
Check if a tweet has been sent
Represents a tweet
Compose a tweet
Reply to a list of mentions
Update a tweet
Wrapper for train function
Construct a filter filter function
Return a generator of tweets
Construct a checker for a Tweet

Get all kandi verified functions for this library.

twitter_markov Key Features

No Key Features are available at this moment for twitter_markov.

twitter_markov Examples and Code Snippets

No Code Snippets are available at this moment for twitter_markov.

Community Discussions

No Community Discussions are available at this moment for twitter_markov.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install twitter_markov

Run pip install twitter_markov, or download/clone the package and run python setup.py install. Feel free to use a virtualenv, if you’re into that.
[See the docs](http://pythonhosted.org/twitter_markov) for a complete guide to setting up an ebooks bot. Here are the basics:.
Create a app and authenticate it with your new Twitter account
[Create a corpus](http://pythonhosted.org/twitter_markov/corpus.html), a text file with one sentence or text per line
[Create a bots.yaml config file](http://pythonhosted.org/twitter_markov/config.html)
[Set up a task to tweet and reply](http://pythonhosted.org/twitter_markov/tweet.html)

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 .

Find more information at: