short-text-classification
kandi X-RAY | short-text-classification Summary
kandi X-RAY | short-text-classification Summary
short-text-classification is a Java library. short-text-classification has no bugs, it has no vulnerabilities and it has low support. However short-text-classification build file is not available. You can download it from GitHub.
short-text-classification
short-text-classification
Support
Quality
Security
License
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Support
short-text-classification has a low active ecosystem.
It has 2 star(s) with 3 fork(s). There are 4 watchers for this library.
It had no major release in the last 6 months.
short-text-classification has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of short-text-classification is current.
Quality
short-text-classification has no bugs reported.
Security
short-text-classification has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
short-text-classification 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
short-text-classification releases are not available. You will need to build from source code and install.
short-text-classification has no build file. You will be need to create the build yourself to build the component from source.
Top functions reviewed by kandi - BETA
kandi has reviewed short-text-classification and discovered the below as its top functions. This is intended to give you an instant insight into short-text-classification implemented functionality, and help decide if they suit your requirements.
- Main method for testing
- Calculates the average precision of this corpus
- Retrieves the set of Catogories for the train
- Load text from the source file
- Calculate information gain
- Computes the entropy value
- Sorts the specified map
- Entry point for testing
- Save model to disk
- Writes unlabel unlabel text
- Language test
- Entry point
- Test program
- Trains a Bayesian corpus
- The average macro accuracy
- Segments a file
- Returns a string representation of this classifier
- Attempts to load a model from a file
- Entry point for testing purposes
- Command - line test
- Process a CSV file
- Segments a file with label
- Translate csv file
- Test classifier
- Loads a model from a file
- Read the statistics from a file
Get all kandi verified functions for this library.
short-text-classification Key Features
No Key Features are available at this moment for short-text-classification.
short-text-classification Examples and Code Snippets
No Code Snippets are available at this moment for short-text-classification.
Community Discussions
No Community Discussions are available at this moment for short-text-classification.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install short-text-classification
You can download it from GitHub.
You can use short-text-classification like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the short-text-classification component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .
You can use short-text-classification like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the short-text-classification component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .
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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