Stock News Sentiment Analysis

[Shobhit-Bandhu]

Pull Request for ML-Crate 💡

Issue Title: Stock News Sentiment Analysis #351

• Info about the related issue (Aim of the project) :
• Name: Shobhit-Bandhu
• GitHub ID: Shobhit-Bandhu
• Idenitfy yourself: Contributor KWOC '23

Closes: #351

Describe the add-ons or changes you've made 📃

Preprocessed data, added SVM model.

Type of change ☑️

What sort of change have you made:

• Bug fix (non-breaking change which fixes an issue)
• New feature (non-breaking change which adds functionality)
• Code style update (formatting, local variables)
• Breaking change (fix or feature that would cause existing functionality to not work as expected)
• This change requires a documentation update

How Has This Been Tested? ⚙️

Describe how it has been tested
Describe how have you verified the changes made

Checklist: ☑️

• My code follows the guidelines of this project.
• I have performed a self-review of my own code.
• I have commented my code, particularly wherever it was hard to understand.
• I have made corresponding changes to the documentation.
• My changes generate no new warnings.
• I have added things that prove my fix is effective or that my feature works.
• Any dependent changes have been merged and published in downstream modules.

[github-actions]

Our team will soon review your PR. Thanks @Shobhit-Bandhu :)

[abhisheks008]

Please complete the whole project and update the blanks in the Jupyter Notebook and README.md. Once you are done with this, do let me know.

[abhisheks008]

Also check out the errors of Tensorflow modelling and try impose it properly.

[abhisheks008]

Please follow the README.md template and update it accordingly. Here is the template, https://github.com/abhisheks008/ML-Crate/blob/main/.github/readme_template.md

[abhisheks008]

Hi @Shobhit-Bandhu I have seen that CNNs are not properly implemented in your project, you can remove it from the notebook.

[abhisheks008]

Hey @Shobhit-Bandhu your implemented models are not even having accuracy score of 80 atleast. Please upgrade the models and try to achieve an accuracy of atleast 80%.

[Shobhit-Bandhu]

@abhisheks008 Any suggestions? Should I use BERT models?

[abhisheks008]

@abhisheks008 Any suggestions? Should I use BERT models?

Yeah you can try that.

[Shobhit-Bandhu]

@abhisheks008 I can't seem to do better than 54%...

[abhisheks008]

Hi @Shobhit-Bandhu sorry for the delay, as I was in vacation. Can you please update the README.md file with the newly added model's accuracy score.

[Shobhit-Bandhu]

@abhisheks008 Anything else you would like added?

[abhisheks008]

LGTM! Your PR is approved and ready to be merged.
@Shobhit-Bandhu