FinBERT | BERT for Finance : UC Berkeley MIDS w266 Final Project | Natural Language Processing library

by psnonis C++ Version: Current License: No License

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

kandi X-RAY | FinBERT Summary

FinBERT is a C++ library typically used in Artificial Intelligence, Natural Language Processing, Deep Learning, Pytorch, Tensorflow, Bert, Neural Network applications. FinBERT has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

Vinicio DeSola, Kevin Hanna, Pri Nonis.

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Quality

Security

License

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Support

FinBERT has a low active ecosystem.

It has 176 star(s) with 59 fork(s). There are 8 watchers for this library.

It had no major release in the last 6 months.

There are 4 open issues and 1 have been closed. On average issues are closed in 172 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of FinBERT is current.

Quality

FinBERT has no bugs reported.

Security

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

License

FinBERT 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

FinBERT releases are not available. You will need to build from source code and install.

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FinBERT Key Features

No Key Features are available at this moment for FinBERT.

FinBERT Examples and Code Snippets

No Code Snippets are available at this moment for FinBERT.

Community Discussions

Trending Discussions on FinBERT

How do I show the other sentiment scores from text classification?

QUESTION

How do I show the other sentiment scores from text classification?

Asked 2021-Jun-15 at 17:15

I am doing sentiment analysis, and I was wondering how to show the other sentiment scores from classifying my sentence: "Tesla's stock just increased by 20%."

I have three sentiments: positive, negative and neutral.

This is my code, which contains the sentence I want to classify:

...

ANSWER

Answered 2021-Jun-15 at 14:44

Because HappyTransformer does not support multi class probabilities I suggest to use another library. The library flair provides even more functionality and can give you your desired multi class probabilities, with something like this:

Source https://stackoverflow.com/questions/67987738

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

Vulnerabilities

No vulnerabilities reported

Install FinBERT

You can download it from GitHub.

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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