Add more labelled reviews
Assessment
This issue has not been assessed yet.
Description
The model learns from data/reviews.csv. More data makes it better.
Add 5-10 canteen reviews, balanced between positive and negative, each in quotes:
"The chai was great!","positive"
Run python3 -m mess_mood evaluate before and after and mention both numbers in your pull request.
- Dominant language
- Python
- Stars
- 0
- Forks
- 3
- Avg merge
- 4h 39m
- Merged PRs (30d)
- 5
Getting set up
- No Dockerfile or Docker Compose file
- Has a pull request template
- No contributing guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
More from techcsispit/mess-mood
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Negation with "not" and "no" is ignored during sentiment analysisPossibly taken @vivek-3728 claimed this today. Open
Difficulty 2/5 1-3 hours Newbie friendliness 68/100
techcsispit/mess-mood#11 · 1 comment · 1 assignee ·
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Bug: Precision and Recall metrics return the exact same valuePossibly taken @sohanjadyal claimed this today. Open
Difficulty 1/5 Under an hour Newbie friendliness 88/100
techcsispit/mess-mood#10 · 1 comment · 1 assignee ·
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Bug: "train_test_split" trains and tests on the exact same dataPossibly taken @sohanjadyal claimed this today. Open
Difficulty 1/5 Under an hour Newbie friendliness 85/100
techcsispit/mess-mood#9 · 1 comment · 1 assignee ·
All issues in techcsispit/mess-mood
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