senpy | A sentiment and emotion analysis server in Python | Predictive Analytics library
kandi X-RAY | senpy Summary
kandi X-RAY | senpy Summary
senpy is a Python library typically used in Analytics, Predictive Analytics applications. senpy has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install senpy' or download it from GitHub, PyPI.
A sentiment and emotion analysis server in Python
A sentiment and emotion analysis server in Python
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Quality
Security
License
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Support
senpy has a low active ecosystem.
It has 68 star(s) with 24 fork(s). There are 39 watchers for this library.
It had no major release in the last 12 months.
There are 5 open issues and 23 have been closed. On average issues are closed in 91 days. There are 2 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of senpy is 1.1.0
Quality
senpy has no bugs reported.
Security
senpy has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
senpy is licensed under the Apache-2.0 License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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senpy releases are not available. You will need to build from source code and install.
Deployable package is available in PyPI.
Build file is available. You can build the component from source.
Top functions reviewed by kandi - BETA
kandi has reviewed senpy and discovered the below as its top functions. This is intended to give you an instant insight into senpy implemented functionality, and help decide if they suit your requirements.
- Decorator for API methods
- Parse parameters
- Serialize the object to JSON
- Extract parameters from a POST request
- Encode URL
- The centroid test
- Convert to Emotion
- Backwards conversion
- Main function
- Activate all plugins
- Return the root API root
- Return a dictionary of all parameters for the given plugins
- Test the activity
- Add a folder
- Load plugins from file
- Activates all plugins
- Parse a single entry
- Return the default plugin
- Analyse a single entry
- Load a context
- Serialize to JSON - LD
- Generate a model entry
- Evaluate function
- Test the plugin
- Evaluate the given parameters
- Example application
- Generate an EmotionSet
- Returns a dictionary of sh
Get all kandi verified functions for this library.
senpy Key Features
No Key Features are available at this moment for senpy.
senpy Examples and Code Snippets
No Code Snippets are available at this moment for senpy.
Community Discussions
Trending Discussions on senpy
QUESTION
"pygame.error: display Surface quit" while loading
Asked 2017-Mar-01 at 12:00
So I'm making a game to test my programming skills and I'm trying to use pygame but when i try and load a level map it says the surface has quit. I have no idea why.
This is the load code:
...ANSWER
Answered 2017-Mar-01 at 12:00You can't pickle a Surface object.
If you want to pickle an object that contains a Surface, remove it before saving it to disk; and store the name of the image file or a string representation of the Surface instead in the object.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install senpy
You can install using 'pip install senpy' or download it from GitHub, PyPI.
You can use senpy 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 senpy 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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