Spectrum-CETB / Spectober_Fest

A repository by Spectrum-CETB for celebrating month long festival of open-source called Hacktoberfest.

MIT License

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Added Commodity Sentiment Analysis using LSTM #161

Closed prajwal-144 closed 1 year ago

prajwal-144 commented 1 year ago

Description

:memo: Summary of the change. Develop a model to classify Commodity Sentiments into predefined categories.

Fixes # (issue)

Tests

Obtained an accuracy of 94% on the training set and 90% on the test set.

Type of change

Please delete options that are not relevant.

[ ] Bug fix (non-breaking change which fixes an issue)
[x] New feature (non-breaking change which adds functionality)
[ ] Breaking change (fix or feature that would cause existing functionality to not work as expected)
[ ] This change requires a documentation update

Implementation details

numpy == 1.22.4 pandas == 1.4.2 seaborn == 0.11.2 matplotlib == 3.5.1 sklearn==0.20 tensorflow==2.2.0 nltk==3.2.5

Average time required to train for 1 epoch : 4 seconds running on GPU.

Checklist:

[x] My code follows the style guidelines of this project
[x] I have made corresponding changes to the documentation
[x] I have added tests that prove my fix is effective or that my feature works
[x] Any dependent changes have been merged and published in downstream modules