Customer Review Sentiment Anaylsis

[tanuj437]

Pull Request for ML-Crate 💡

Issue Title: Customer Review Sentiment Anaylsis

• Info about the related issue (Aim of the project) : To Predict the sentiment of the customer review over a product
• Name: Tanuj Saxena
• Email ID for further communication: [email protected]
• GitHub ID: https://github.com/tanuj437
• Idenitfy yourself: Contributor SSOC'24

Closes: #698 number that will be closed through this PR

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

Firstly Did Some EDA like checking all the features set, consider best required one and drop the rest of the feature set. Since the text data so to vectorized it used TF-IDF and trained few model and all model accuracy where around 89-90 only

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? ⚙️

So to test the model i have dump the model in pickle file, which i have used in webapp along with vectorizer as its not efficient to reuse same model to vector the text so used the same preprocessing way, tested with a positive review and the model also predicted the same

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 @tanuj437 :)

[abhisheks008]

Hi @tanuj437 upload the demo video inside the Web App folder as well as drag and drop the video file from your local system to the README so that others can play the video directly from the README.

[tanuj437]

@abhisheks008 Changes made, kindly check it

[abhisheks008]

Hi @tanuj437 looks good to me. Approved ✅