Twitter_Bot_Detector | Java project for Data Structures class
kandi X-RAY | Twitter_Bot_Detector Summary
kandi X-RAY | Twitter_Bot_Detector Summary
Twitter_Bot_Detector is a Java library typically used in Telecommunications, Media, Advertising, Marketing applications. Twitter_Bot_Detector has no bugs, it has no vulnerabilities and it has low support. However Twitter_Bot_Detector build file is not available. You can download it from GitHub.
Java project to collect tweets using Twitter API from across the United States. Hash and store tweets for each user in Red-Black Binary Search Trees, then analyze tweets using algorithms based on posting times and other factors to determine probability of each user being a bot. See accuracy_analysis_report for results.
Java project to collect tweets using Twitter API from across the United States. Hash and store tweets for each user in Red-Black Binary Search Trees, then analyze tweets using algorithms based on posting times and other factors to determine probability of each user being a bot. See accuracy_analysis_report for results.
Support
Quality
Security
License
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Support
Twitter_Bot_Detector has a low active ecosystem.
It has 7 star(s) with 1 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
Twitter_Bot_Detector has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of Twitter_Bot_Detector is current.
Quality
Twitter_Bot_Detector has no bugs reported.
Security
Twitter_Bot_Detector has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
Twitter_Bot_Detector 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
Twitter_Bot_Detector releases are not available. You will need to build from source code and install.
Twitter_Bot_Detector 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 Twitter_Bot_Detector and discovered the below as its top functions. This is intended to give you an instant insight into Twitter_Bot_Detector implemented functionality, and help decide if they suit your requirements.
- Checks if the data structure is consistent
- Determines if a path is balanced
- Returns the key with the given k in the subtree rooted at x
- Adds the keys in the given subtree to the given queue
- Main method to test tweets
- Saves all tweets to a file
- Loads location data from a file
- Loads tweets from a file
- Test program
- Rotate a link to a left - right link
- Inserts a key - value pair into the subtree rooted at h
- Deletes a key - value pair
- Unit tests
- Get all keys in the symbol table
- Checks to see if a user is a bot
- Gather tweets from a specific location
- This method generates a hashcode of a string
- Prints a single Status object
Get all kandi verified functions for this library.
Twitter_Bot_Detector Key Features
No Key Features are available at this moment for Twitter_Bot_Detector.
Twitter_Bot_Detector Examples and Code Snippets
No Code Snippets are available at this moment for Twitter_Bot_Detector.
Community Discussions
No Community Discussions are available at this moment for Twitter_Bot_Detector.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install Twitter_Bot_Detector
You can download it from GitHub.
You can use Twitter_Bot_Detector 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 Twitter_Bot_Detector 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 Twitter_Bot_Detector 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 Twitter_Bot_Detector 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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