pylogsentiment | Sentiment analysis in system logs

by studiawan Python Version: Current License: MIT

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

kandi X-RAY | pylogsentiment Summary

pylogsentiment is a Python library. pylogsentiment has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

We name the proposed method as pylogsentiment.

Support

Quality

Security

License

Reuse

Support

pylogsentiment has a low active ecosystem.

It has 1 star(s) with 1 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

pylogsentiment has no issues reported. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of pylogsentiment is current.

Quality

pylogsentiment has no bugs reported.

Security

pylogsentiment has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

pylogsentiment 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

pylogsentiment 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 available. Examples and code snippets are not available.

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pylogsentiment Key Features

No Key Features are available at this moment for pylogsentiment.

pylogsentiment Examples and Code Snippets

No Code Snippets are available at this moment for pylogsentiment.

Community Discussions

No Community Discussions are available at this moment for pylogsentiment.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install pylogsentiment

To run the pylogsentiment tool, please follow these steps.
Clone the repository git clone https://github.com/studiawan/pylogsentiment.git
Change directory to pylogsentiment cd pylogsentiment
Create virtual environment using anaconda: conda create --name pylogsentiment python=3.5 and then activate it: conda activate pylogsentiment If you do not have anaconda, use any other tools to create virtual environment. We highly recommend to install pylogsentiment on a virtual environment.
Install pylogsentiment pip install -e .
To run pylogsentiment, we need to download the model file and word index file. When downloading the datasets using megadl command, both files are also downloaded. Please read here for instructions. Note that both files should be placed in pylogsentiment/datasets/ directory.

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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