twitter-viz-demo | Twitter visualizaton experiment
kandi X-RAY | twitter-viz-demo Summary
kandi X-RAY | twitter-viz-demo Summary
twitter-viz-demo is a Python library. twitter-viz-demo has no bugs, it has no vulnerabilities and it has low support. However twitter-viz-demo build file is not available. You can download it from GitHub.
Twitter visualizaton experiment using various python-based technologies.
Twitter visualizaton experiment using various python-based technologies.
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Quality
Security
License
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Support
twitter-viz-demo has a low active ecosystem.
It has 60 star(s) with 23 fork(s). There are 4 watchers for this library.
It had no major release in the last 6 months.
twitter-viz-demo has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of twitter-viz-demo is current.
Quality
twitter-viz-demo has no bugs reported.
Security
twitter-viz-demo has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
twitter-viz-demo 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-viz-demo releases are not available. You will need to build from source code and install.
twitter-viz-demo has no build file. You will be need to create the build yourself to build the component from source.
Installation instructions are available. Examples and code snippets are not available.
Top functions reviewed by kandi - BETA
kandi has reviewed twitter-viz-demo and discovered the below as its top functions. This is intended to give you an instant insight into twitter-viz-demo implemented functionality, and help decide if they suit your requirements.
- Tokenize a string
- Return a list of regex strings
- Convert HTML entities to Unicode
- Create a stream for a phrase
- Vectorize a tweet
- Classify a Tweet
Get all kandi verified functions for this library.
twitter-viz-demo Key Features
No Key Features are available at this moment for twitter-viz-demo.
twitter-viz-demo Examples and Code Snippets
No Code Snippets are available at this moment for twitter-viz-demo.
Community Discussions
No Community Discussions are available at this moment for twitter-viz-demo.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install twitter-viz-demo
Clone this repository
Install dependencies (Flask, Flask-SocketIO, Redis, Celery, Pattern, Numpy, Pandas, Scikit-learn, Gensim)
Download twitter sentiment dataset here
Unzip the .csv file and save a copy in the 'scripts' folder
Run 'build_models.py' from the 'scripts' folder (can take a while on a slower machine)
Open a terminal window and start a local Redis server ('bash redis.sh')
Open another terminal window and start a Celery worker ('celery worker -A app.celery --loglevel=info')
Open a third terminal window and start the Flask application ('python app.py')
Browse to the app at 'http://127.0.0.1:5000/'
Install dependencies (Flask, Flask-SocketIO, Redis, Celery, Pattern, Numpy, Pandas, Scikit-learn, Gensim)
Download twitter sentiment dataset here
Unzip the .csv file and save a copy in the 'scripts' folder
Run 'build_models.py' from the 'scripts' folder (can take a while on a slower machine)
Open a terminal window and start a local Redis server ('bash redis.sh')
Open another terminal window and start a Celery worker ('celery worker -A app.celery --loglevel=info')
Open a third terminal window and start the Flask application ('python app.py')
Browse to the app at 'http://127.0.0.1:5000/'
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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