Rumor_RvNN | Source Codes : Rumor Detection

by majingCUHK Python Version: Current License: MIT

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

kandi X-RAY | Rumor_RvNN Summary

Rumor_RvNN is a Python library. Rumor_RvNN has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However Rumor_RvNN build file is not available. You can download it from GitHub.

Source Codes: Rumor Detection on Twitter with Tree-structured Recursive Neural Networks -- ACL 2018

Support

Quality

Security

License

Reuse

Support

Rumor_RvNN has a low active ecosystem.

It has 117 star(s) with 52 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

There are 6 open issues and 1 have been closed. On average issues are closed in 35 days. There are 3 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of Rumor_RvNN is current.

Quality

Rumor_RvNN has 0 bugs and 0 code smells.

Security

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

Rumor_RvNN code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

Rumor_RvNN is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

Rumor_RvNN releases are not available. You will need to build from source code and install.

Rumor_RvNN has no build file. You will be need to create the build yourself to build the component from source.

Rumor_RvNN saves you 415 person hours of effort in developing the same functionality from scratch.

It has 984 lines of code, 55 functions and 5 files.

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

Top functions reviewed by kandi - BETA

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

Evaluate the model
Generate nnn inputs
Get a tree traversal
Get a tree from root node
Get leaf values from root_node
Clear all indices from root node
Compute the tree
Creates the unit vector space
Create a leaf unit unit
Compute the test case for the tree

Get all kandi verified functions for this library.

Rumor_RvNN Key Features

No Key Features are available at this moment for Rumor_RvNN.

Rumor_RvNN Examples and Code Snippets

No Code Snippets are available at this moment for Rumor_RvNN.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install Rumor_RvNN

You can download it from GitHub.
You can use Rumor_RvNN 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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