TweetSentiment | Leverages NLTK 's Naive Bayes classifier
kandi X-RAY | TweetSentiment Summary
kandi X-RAY | TweetSentiment Summary
TweetSentiment is a Python library. TweetSentiment has no bugs, it has no vulnerabilities and it has low support. However TweetSentiment build file is not available. You can download it from GitHub.
Leverages NLTK's Naive Bayes classifier to perform sentiment analysis on tweets. This is part of a larger project involving sentiment analysis run on tweets pertaining to the 2016 presidential election.
Leverages NLTK's Naive Bayes classifier to perform sentiment analysis on tweets. This is part of a larger project involving sentiment analysis run on tweets pertaining to the 2016 presidential election.
Support
Quality
Security
License
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Support
TweetSentiment has a low active ecosystem.
It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
TweetSentiment has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of TweetSentiment is current.
Quality
TweetSentiment has no bugs reported.
Security
TweetSentiment has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
TweetSentiment 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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TweetSentiment releases are not available. You will need to build from source code and install.
TweetSentiment has no build file. You will be need to create the build yourself to build the component from source.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of TweetSentiment
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of TweetSentiment
TweetSentiment Key Features
No Key Features are available at this moment for TweetSentiment.
TweetSentiment Examples and Code Snippets
No Code Snippets are available at this moment for TweetSentiment.
Community Discussions
No Community Discussions are available at this moment for TweetSentiment.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install TweetSentiment
You can download it from GitHub.
You can use TweetSentiment 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 TweetSentiment 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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