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Twitter Sentiment Analysis using NLP #385

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merged 3 commits into from
Dec 16, 2023

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aindree-2005
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Pull Request for DL-Simplified 💡

Issue Title :

#221

  • Info about the related issue (Aim of the project) :
  • Name: Aindree Chatterjee
  • GitHub ID: aindree-2005
  • Email ID: [email protected]
  • Idenitfy yourself: (Mention in which program you are contributing in. Eg. For a JWOC 2022 participant it's, JWOC Participant) CodePeak 2023

Closes: #221

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

Give a clear description of what have you added or modifications made
Added Project for twitter sentiment analysis

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

On kaggle, code isn't breaking anything

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.

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Our team will soon review your PR. Thanks @aindree-2005 :)

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@abhisheks008 abhisheks008 left a comment

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Well @aindree-2005 the models you have put in for this project are good enough to do the job. But I'll prefer having a model with accuracy score more than 85%. Can you find out some models which are having 85% score?

@aindree-2005
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Sure let me retry with bert

@aindree-2005
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@abhisheks008 added BERT. 87% Accuracy.

So, final round up is BERT- 87%, LSTM- 78%, Sequential Model- 72%

@abhisheks008 abhisheks008 changed the title Added Twitter Sentiment Analysis Twitter Sentiment Analysis using NLP Dec 16, 2023
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@abhisheks008 abhisheks008 left a comment

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Looks perfect now. Your PR is approved and ready to be merged.
@aindree-2005

@abhisheks008 abhisheks008 merged commit b7461c6 into abhisheks008:main Dec 16, 2023
@abhisheks008 abhisheks008 added Status: Approved Approved PR by the PA. Level: HARD Codepeak23 This issue is assigned under CodePeak 2023 event/ Points Updated and removed Status: Requested Changes Changes requested. labels Dec 16, 2023
@aindree-2005 aindree-2005 deleted the tweets branch December 16, 2023 16:38
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Twitter Sentiment Analysis NLP
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