TwitterHashtagPrediction | emily cook , jon kennedy
kandi X-RAY | TwitterHashtagPrediction Summary
kandi X-RAY | TwitterHashtagPrediction Summary
TwitterHashtagPrediction is a Python library typically used in React applications. TwitterHashtagPrediction has no bugs, it has no vulnerabilities and it has low support. However TwitterHashtagPrediction build file is not available. You can download it from GitHub.
#twitter hashtag prediction ##using market basket aanalysis ####reilly steele, emily cook, jon kennedy. twitter is used for finding people and communicating with them across the internet. hashtags are used to group tweets by their topics to facilitate finding tweets about the same topic. we propose using association rule mining to be able to suggest hashtags that are relevant to input tweets. the goal of this project is to suggest hashtags to users when they are writing their tweets. this will be useful for twitter's mobile app since often users are trying to tweet on the go when they do not have much time. having the option to see relevant hashtags rather than having to think about it would speed up their time, and typing on phone keyboards can often lead to mistakes. this will also be useful for users who struggle to know what relevant hashtags are, seeing as relevant hashtags increase the number of views your tweet receives. the more views a tweet receives the more likely it is to be retweeted, commented on, or even gain the user new followers. the use of hashtags in a site such as twitter.com is to provide search functionality among groups of
#twitter hashtag prediction ##using market basket aanalysis ####reilly steele, emily cook, jon kennedy. twitter is used for finding people and communicating with them across the internet. hashtags are used to group tweets by their topics to facilitate finding tweets about the same topic. we propose using association rule mining to be able to suggest hashtags that are relevant to input tweets. the goal of this project is to suggest hashtags to users when they are writing their tweets. this will be useful for twitter's mobile app since often users are trying to tweet on the go when they do not have much time. having the option to see relevant hashtags rather than having to think about it would speed up their time, and typing on phone keyboards can often lead to mistakes. this will also be useful for users who struggle to know what relevant hashtags are, seeing as relevant hashtags increase the number of views your tweet receives. the more views a tweet receives the more likely it is to be retweeted, commented on, or even gain the user new followers. the use of hashtags in a site such as twitter.com is to provide search functionality among groups of
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Support
TwitterHashtagPrediction has a low active ecosystem.
It has 2 star(s) with 1 fork(s). There are 3 watchers for this library.
It had no major release in the last 6 months.
TwitterHashtagPrediction has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of TwitterHashtagPrediction is current.
Quality
TwitterHashtagPrediction has no bugs reported.
Security
TwitterHashtagPrediction has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
TwitterHashtagPrediction 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.
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TwitterHashtagPrediction releases are not available. You will need to build from source code and install.
TwitterHashtagPrediction 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 TwitterHashtagPrediction and discovered the below as its top functions. This is intended to give you an instant insight into TwitterHashtagPrediction implemented functionality, and help decide if they suit your requirements.
- Start timer .
- Initialize the vocabulary .
- Signal handler .
- Removes non - ascii characters .
Get all kandi verified functions for this library.
TwitterHashtagPrediction Key Features
No Key Features are available at this moment for TwitterHashtagPrediction.
TwitterHashtagPrediction Examples and Code Snippets
No Code Snippets are available at this moment for TwitterHashtagPrediction.
Community Discussions
No Community Discussions are available at this moment for TwitterHashtagPrediction.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install TwitterHashtagPrediction
You can download it from GitHub.
You can use TwitterHashtagPrediction 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.
You can use TwitterHashtagPrediction 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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