twitter 140 temporal sentiment classification
Dataset from paper "Twitter Sentiment Classification using Distant Supervision" [ver. 1.0.2]
This is a long list of all submissions, if you want to see only the best, click leaderboard.
# | submitter | when | ver. | description | dev-0 Accuracy | test-A Accuracy | |
---|---|---|---|---|---|---|---|
1 | p/tlen | 2021-12-18 17:33 | 1.0.2 | fastText bucket=0.0 dim=100.0 epoch=5.0 loss=softmax lrUpdateRate=100.0 maxn=0.0 minCount=1.0 minn=0.0 [...] fasttext no-temporal | 79.88 | 79.92 | |
14 | kubapok | 2021-11-11 20:13 | 1.0.1 | roberta_year_as_token_everywhere_better_finetunning_from_scratch | 85.66 | 85.47 | |
13 | kubapok | 2021-11-10 22:02 | 1.0.1 | roberta_year_as_token_everywhere_better_finetunning | 91.23 | 91.04 | |
12 | kubapok | 2021-11-10 09:41 | 1.0.1 | roberta_year_as_token_better_finetunning_from_scratch | 86.31 | 86.18 | |
11 | kubapok | 2021-11-09 18:50 | 1.0.1 | roberta_year_as_token_better_finetunning | 91.29 | 91.16 | |
10 | kubapok | 2021-11-08 13:11 | 1.0.1 | most_common_from_train | 49.78 | 49.88 | |
9 | kubapok | 2021-11-06 16:24 | 1.0.0 | roberta_year_text_only_weekday | 90.00 | 89.60 | |
8 | kubapok | 2021-11-06 14:56 | 1.0.0 | roberta_year_text_only_year | 89.43 | 89.32 | |
7 | kubapok | 2021-11-04 21:11 | 1.0.0 | roberta_year_text_only_month | 89.64 | 89.59 | |
6 | kubapok | 2021-11-04 15:46 | 1.0.0 | roberta_year_text_only_day | 90.28 | 90.16 | |
5 | kubapok | 2021-11-03 20:29 | 1.0.1 | roberta_year_text_from_scratch | 85.87 | 86.02 | |
4 | kubapok | 2021-11-03 10:40 | 1.0.1 | roberta_year_text | 92.38 | 91.13 | |
3 | kubapok | 2021-11-02 21:01 | 1.0.1 | roberta_no_year_from_scratch | 83.44 | 83.38 | |
2 | kubapok | 2021-11-02 09:52 | 1.0.1 | roberta_no_year | 89.39 | 89.27 |