negative-sentiment | 基于词典的负面舆情信息评分算法。

by ml-distribution Java Version: Current License: No License

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

kandi X-RAY | negative-sentiment Summary

negative-sentiment is a Java library. negative-sentiment has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

基于词典的负面舆情信息评分算法。

Support

Quality

Security

License

Reuse

Support

negative-sentiment has a low active ecosystem.

It has 24 star(s) with 22 fork(s). There are 11 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 0 have been closed. On average issues are closed in 1261 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of negative-sentiment is current.

Quality

negative-sentiment has 0 bugs and 0 code smells.

Security

negative-sentiment has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

negative-sentiment code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

negative-sentiment 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

negative-sentiment releases are not available. You will need to build from source code and install.

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

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

negative-sentiment saves you 373 person hours of effort in developing the same functionality from scratch.

It has 889 lines of code, 67 functions and 18 files.

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

Top functions reviewed by kandi - BETA

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

Initializes the emotion dictionary
Set ISH
Set the inverse of the query
Set insufficient resources
Command line
Close the analyzer
Get text score
Get sentence list
Get sentiment score based on sentiment level
Returns a list containing all available strings
Gets the catewords
Returns the sentiment level
Main method
Starts the application
Stops the Bayes application
Close the classifier
Convert analyzer text to array of Strings
Analyze a text string using analyzer
Returns the sentiment score for a given sentence
Compute sentiment level
Imports the text score router
Test program
Gets word and counts
Get analyzer string
Initialize the application
Main driver driver

Get all kandi verified functions for this library.

negative-sentiment Key Features

No Key Features are available at this moment for negative-sentiment.

negative-sentiment Examples and Code Snippets

No Code Snippets are available at this moment for negative-sentiment.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install negative-sentiment

You can download it from GitHub.
You can use negative-sentiment 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 negative-sentiment 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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