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Twitter Sentiment Analysis using NLP #385
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Our team will soon review your PR. Thanks @aindree-2005 :) |
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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?
Sure let me retry with bert |
@abhisheks008 added BERT. 87% Accuracy. So, final round up is BERT- 87%, LSTM- 78%, Sequential Model- 72% |
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Looks perfect now. Your PR is approved and ready to be merged.
@aindree-2005
Pull Request for DL-Simplified 💡
Issue Title :
#221
JWOC Participant
) CodePeak 2023Closes: #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:
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: ☑️