Tweet-Analyzer | project analyzes the various tweets

by a2l007 Python Version: Current License: No License

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kandi X-RAY | Tweet-Analyzer Summary

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

This project analyzes the various tweets related to the Emmys 2015 awards and categorizes the tweets based on the emotions of the tweet(positive/negative) specific to each of the popular Emmy nominations. How-Twitter-Reacts-To-Emmys/Data/neg.txt - List of identified negative emotion words. How-Twitter-Reacts-To-Emmys/Data/pos.txt - List of identified negative emotion words. How-Twitter-Reacts-To-Emmys/Data/tweet_output_clean.txt - The dataset of tweets created by pulling tweets based on specific search keys related to Emmys 2015. How-Twitter-Reacts-To-Emmys/Output/nomineeEmoTweet.csv - Categorized results after running the classifier. How-Twitter-Reacts-To-Emmys/Output/Emmy_Tweets_Results.png - Graphical representation of the result set.

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Support

Tweet-Analyzer 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.

Tweet-Analyzer has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Tweet-Analyzer is current.

Quality

Tweet-Analyzer has no bugs reported.

Security

Tweet-Analyzer has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

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

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

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Tweet-Analyzer Key Features

No Key Features are available at this moment for Tweet-Analyzer.

Tweet-Analyzer Examples and Code Snippets

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Community Discussions

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Vulnerabilities

No vulnerabilities reported

Install Tweet-Analyzer

You can download it from GitHub.
You can use Tweet-Analyzer 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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