personality-detection | hierarchical CNN based model to detect Big | Machine Learning library

by SenticNet Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | personality-detection Summary

personality-detection is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch, Keras, Neural Network applications. personality-detection has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However personality-detection build file is not available. You can download it from GitHub.

This code implements the model discussed in Deep Learning-Based Document Modeling for Personality Detection from Text for detection of Big-Five personality traits, namely:.

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Security

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Support

personality-detection has a low active ecosystem.

It has 360 star(s) with 142 fork(s). There are 21 watchers for this library.

It had no major release in the last 6 months.

There are 17 open issues and 11 have been closed. On average issues are closed in 79 days. There are 6 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of personality-detection is current.

Quality

personality-detection has 0 bugs and 0 code smells.

Security

personality-detection has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

personality-detection code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

personality-detection is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

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

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

Installation instructions are not available. Examples and code snippets are available.

It has 725 lines of code, 38 functions and 3 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed personality-detection and discovered the below as its top functions. This is intended to give you an instant insight into personality-detection implemented functionality, and help decide if they suit your requirements.

Predict new data
ReLU function
Convert input into input

Get all kandi verified functions for this library.

personality-detection Key Features

No Key Features are available at this moment for personality-detection.

personality-detection Examples and Code Snippets

No Code Snippets are available at this moment for personality-detection.

Community Discussions

Trending Discussions on personality-detection

Reading files from a file

QUESTION

Reading files from a file

Asked 2019-Oct-27 at 12:44

From this project

I try to run this code

But it has a problem when it reads the files python process_data.py ./GoogleNews-vectors-negative300.bin ./essays.csv ./mairesse.csv

However I receive this error:

...

ANSWER

Answered 2019-Oct-27 at 12:30

The error is:

Source https://stackoverflow.com/questions/58579428

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install personality-detection

You can download it from GitHub.
You can use personality-detection 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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