Aspect-Based-Sentiment-Analysis | Aspect-Based Sentiment Analysis Experiments | Predictive Analytics library

by davidsbatista Python Version: Current License: No License

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

kandi X-RAY | Aspect-Based-Sentiment-Analysis Summary

Aspect-Based-Sentiment-Analysis is a Python library typically used in Analytics, Predictive Analytics, Pytorch, Neural Network applications. Aspect-Based-Sentiment-Analysis has no bugs, it has no vulnerabilities and it has low support. However Aspect-Based-Sentiment-Analysis build file is not available. You can download it from GitHub.

Aspect-Based Sentiment Analysis Experiments

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Quality

Security

License

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Support

Aspect-Based-Sentiment-Analysis has a low active ecosystem.

It has 119 star(s) with 60 fork(s). There are 5 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 3 have been closed. On average issues are closed in 336 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Aspect-Based-Sentiment-Analysis is current.

Quality

Aspect-Based-Sentiment-Analysis has 0 bugs and 0 code smells.

Security

Aspect-Based-Sentiment-Analysis has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

Aspect-Based-Sentiment-Analysis code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

Aspect-Based-Sentiment-Analysis 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

Aspect-Based-Sentiment-Analysis releases are not available. You will need to build from source code and install.

Aspect-Based-Sentiment-Analysis has no build file. You will be need to create the build yourself to build the component from source.

Aspect-Based-Sentiment-Analysis saves you 200368 person hours of effort in developing the same functionality from scratch.

It has 200841 lines of code, 197 functions and 33 files.

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

Top functions reviewed by kandi - BETA

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

Progress bar
Return a list of all widgets
Update progress bar
Start the stream
Updates the progress bar
Update the progress bar
Return True if the percentage needs to be updated
A progress bar
Display a progress bar
Format a progress bar
Resets the progress bar

Get all kandi verified functions for this library.

Aspect-Based-Sentiment-Analysis Key Features

No Key Features are available at this moment for Aspect-Based-Sentiment-Analysis.

Aspect-Based-Sentiment-Analysis Examples and Code Snippets

No Code Snippets are available at this moment for Aspect-Based-Sentiment-Analysis.

Community Discussions

Trending Discussions on Aspect-Based-Sentiment-Analysis

Create a string on the output. The output is a NoneType object

QUESTION

Create a string on the output. The output is a NoneType object

Asked 2021-May-22 at 16:25

I am running Aspect-Based-Sentiment-Analysis. And I get the output. I want to get this output as a string. I spent several hours in googling how to refer to the output and not only to see the output when I run a code. Maybe I don't comprehend something in Python basics and need huge support on that.

The code I am talking about is as follows:

...

ANSWER

Answered 2021-May-22 at 16:23

Looks like the command is just printing the output to stdout instead of acutally returning an object containing the information you are looking for. You may want to try and capture stdout while running the function. The answer to this question should be helpful.

Source https://stackoverflow.com/questions/67651699

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

Vulnerabilities

No vulnerabilities reported

Install Aspect-Based-Sentiment-Analysis

You can download it from GitHub.
You can use Aspect-Based-Sentiment-Analysis 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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