twitter-emotion-recognition | Models for predicting emotions from English tweets
kandi X-RAY | twitter-emotion-recognition Summary
kandi X-RAY | twitter-emotion-recognition Summary
twitter-emotion-recognition is a Python library typically used in Deep Learning, Tensorflow, Keras, Neural Network applications. twitter-emotion-recognition has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has low support. You can download it from GitHub.
Trained recurrent neural network (RNN) models for predicting emotions from English tweets. Our models work on characters hence we pass the whole tweet without any preprocessing as an input to the RNN. We are predicting three emotion classifications:.
Trained recurrent neural network (RNN) models for predicting emotions from English tweets. Our models work on characters hence we pass the whole tweet without any preprocessing as an input to the RNN. We are predicting three emotion classifications:.
Support
Quality
Security
License
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Support
twitter-emotion-recognition has a low active ecosystem.
It has 122 star(s) with 58 fork(s). There are 8 watchers for this library.
It had no major release in the last 6 months.
There are 5 open issues and 17 have been closed. On average issues are closed in 51 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of twitter-emotion-recognition is current.
Quality
twitter-emotion-recognition has 0 bugs and 0 code smells.
Security
twitter-emotion-recognition has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
twitter-emotion-recognition code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
twitter-emotion-recognition is licensed under the AGPL-3.0 License. This license is Strong Copyleft.
Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.
Reuse
twitter-emotion-recognition releases are not available. You will need to build from source code and install.
Build file is available. You can build the component from source.
Installation instructions are not available. Examples and code snippets are available.
Top functions reviewed by kandi - BETA
kandi has reviewed twitter-emotion-recognition and discovered the below as its top functions. This is intended to give you an instant insight into twitter-emotion-recognition implemented functionality, and help decide if they suit your requirements.
- Predict class of tweets
- Convert a list of tweets to indices
- Predict the probability of each of the given tweets
- Embed tweets
- Convert a model file to a Keras model
- Embeds tweets
Get all kandi verified functions for this library.
twitter-emotion-recognition Key Features
No Key Features are available at this moment for twitter-emotion-recognition.
twitter-emotion-recognition Examples and Code Snippets
No Code Snippets are available at this moment for twitter-emotion-recognition.
Community Discussions
Trending Discussions on twitter-emotion-recognition
QUESTION
Download a file from github in a local directory using PowerShell
Asked 2020-Jun-04 at 14:06
I am looking for a way to download a specific file from github using a PowerShell commands.
The URL to the file that I try to download is the following: https://github.com/soulcurrymedia/twitter-emotion-recognition/blob/master/models/allowed-chars.pkl
I have tried the following but it has downloaded html script rather than the actual file
...ANSWER
Answered 2020-Jun-04 at 14:03You need to use a direct-download link for it to work. In this case the link is:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install twitter-emotion-recognition
You can download it from GitHub.
You can use twitter-emotion-recognition 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 twitter-emotion-recognition 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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