twitter 140 temporal sentiment classification

Dataset from paper "Twitter Sentiment Classification using Distant Supervision" [ver. 1.0.2]

# 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