polo | Polo : A way to play with Mallet
kandi X-RAY | polo Summary
kandi X-RAY | polo Summary
polo is a Python library. polo has no bugs, it has no vulnerabilities and it has low support. However polo build file is not available. You can download it from GitHub.
Polo: A way to play with Mallet
Polo: A way to play with Mallet
Support
Quality
Security
License
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Support
polo has a low active ecosystem.
It has 3 star(s) with 0 fork(s). There are 2 watchers for this library.
It had no major release in the last 6 months.
polo has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of polo is current.
Quality
polo has no bugs reported.
Security
polo has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
polo does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
Reuse
polo releases are not available. You will need to build from source code and install.
polo has no build file. You will be need to create the build yourself to build the component from source.
Installation instructions, examples and code snippets are available.
Top functions reviewed by kandi - BETA
kandi has reviewed polo and discovered the below as its top functions. This is intended to give you an instant insight into polo implemented functionality, and help decide if they suit your requirements.
- Import mallet files
- Run mallet
- Populate the model
- Generate the name of the database
- Train the mallet topic
Get all kandi verified functions for this library.
polo Key Features
No Key Features are available at this moment for polo.
polo Examples and Code Snippets
No Code Snippets are available at this moment for polo.
Community Discussions
No Community Discussions are available at this moment for polo.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install polo
To get started using Polo, the first thing to do is grab the source code from github and clone it into a local directory. You can call the directory anything; polo_root is a good choice. Change directories into the cloned code base and edit the file config-play.ini in your favorite editor:.
There is a project directory where all of your source data and generated output will live. By default, this directory lives in your Polo application root and is called projects. It is automatically created for you when you install Polo. The project directory contains three resources:
A corpus directory, which contains your corpus files and extra stopwords list. By convention, your corpus file is called corpus.csv and is a comma delimmited file with three columns -- a unique document ID, a label of some kind (which must be there, even if it is something you have to make up), and the 'document' itself, which for a topic model is just the unit of text you are analyzing, which may be a paragraph or any other text segment, and not necessarily a stand-alone document. The extra stopwords file is called extra-stopwords.txt and contains stopwords beyond those used by MALLET itself. Note that the stopwords file must exist, even if it is empty, and it must be named as listed here. Ditto for the corpus file (although it better have some content, right?)
A trials directory, which contains subdirectories for each of your topic model trials. Each time you want to run a trial, you create a subdirectory -- say trial1 -- and then put an entry for that trial in the project's config.ini file (see next item), The trials directory is where Polo will put your resulting SQLite database.
A config.ini file to define some things about your project and specific parameters for each. Users of MALLET will recognize that the keys in the trials section are just the command line keys for MALLET's train topics function. Given this, you can add more keys if you'd like. Note, however, that Polo takes care of defining the output files, so you don't need to add these.
There is a project directory where all of your source data and generated output will live. By default, this directory lives in your Polo application root and is called projects. It is automatically created for you when you install Polo. The project directory contains three resources:
A corpus directory, which contains your corpus files and extra stopwords list. By convention, your corpus file is called corpus.csv and is a comma delimmited file with three columns -- a unique document ID, a label of some kind (which must be there, even if it is something you have to make up), and the 'document' itself, which for a topic model is just the unit of text you are analyzing, which may be a paragraph or any other text segment, and not necessarily a stand-alone document. The extra stopwords file is called extra-stopwords.txt and contains stopwords beyond those used by MALLET itself. Note that the stopwords file must exist, even if it is empty, and it must be named as listed here. Ditto for the corpus file (although it better have some content, right?)
A trials directory, which contains subdirectories for each of your topic model trials. Each time you want to run a trial, you create a subdirectory -- say trial1 -- and then put an entry for that trial in the project's config.ini file (see next item), The trials directory is where Polo will put your resulting SQLite database.
A config.ini file to define some things about your project and specific parameters for each. Users of MALLET will recognize that the keys in the trials section are just the command line keys for MALLET's train topics function. Given this, you can add more keys if you'd like. Note, however, that Polo takes care of defining the output files, so you don't need to add these.
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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