Sentiment by emoticons challenge

Give the probability of a positive sentiment for a short Polish text. [ver. 1.0.1]

Git repo URL: git://gonito.net/sentiment-by-emoticons / Branch: master
Run git clone --single-branch git://gonito.net/sentiment-by-emoticons -b master to get the challenge data
Browse at https://gonito.net/gitlist/sentiment-by-emoticons.git/master

Leaderboard

# submitter when ver. description test-A Accuracy test-A LogLoss ×
1 kubapok 2020-05-21 13:15 1.0.0 roberta polish large finetune N/A 33.838 1
2 [anonymized] 2018-05-14 15:18 1.0.0 Vowpal Wabbit -b 27 --ngram 3 vowpal-wabbit logistic-regression N/A 47.412 12
3 [anonymized] 2018-05-13 20:33 1.0.0 ISI2018-024 - changed some parameters in vw model generation; changed flattening vowpal-wabbit logistic-regression N/A 47.525 11
4 [anonymized] 2018-05-13 21:31 1.0.0 vw N/A 47.659 18
5 [anonymized] 2018-05-13 22:10 1.0.0 vowpal wabbit vowpal-wabbit logistic-regression N/A 47.690 9
6 [anonymized] 2018-05-21 11:47 1.0.0 improved vowpa vowpal-wabbit logistic-regression N/A 48.053 11
7 [anonymized] 2018-05-13 20:41 1.0.0 vowpal-wabbit proba 1 vowpal-wabbit logistic-regression N/A 48.636 9
8 [anonymized] 2018-05-13 22:53 1.0.0 vowpal wabbit - 2 vowpal-wabbit logistic-regression N/A 49.103 13
9 [anonymized] 2018-05-13 17:25 1.0.0 Volkswagen vowpal-wabbit logistic-regression N/A 49.399 6
10 [anonymized] 2018-05-29 09:26 1.0.0 task fix vowpal-wabbit logistic-regression N/A 54.511 5
11 p/tlen 2018-05-07 09:43 1.0.0 baseline Vowpal Wabbit + simple flattening probabilities vowpal-wabbit N/A 54.537 6
12 [anonymized] 2018-05-27 17:04 1.0.0 vowpal wabbit stemmed model 2 vowpal-wabbit logistic-regression stemming N/A 54.669 7
13 [anonymized] 2018-06-18 09:06 1.0.0 LSTM v4 all/500/515880(1)/256, 1 epoch neural-network N/A 54.739 40
14 [anonymized] 2018-05-27 21:48 1.0.0 fasttext predict-prob fasttext N/A 55.637 16
15 [anonymized] 2018-06-05 23:21 1.0.0 Zadanie029 wersja poprawiona vowpal-wabbit logistic-regression N/A 57.464 10
16 [anonymized] 2018-05-20 22:52 1.0.0 implent logistic regression with some ready-made solution (but not Vowpal Wabbit) ready-made logistic-regression N/A 57.783 27
17 [anonymized] 2019-01-27 14:36 1.0.0 dampie5 solution v4.2 N/A 58.272 14
18 [anonymized] 2019-01-27 07:37 1.0.0 dodanie zaktualizowanego pliku python N/A 58.559 11
19 [anonymized] 2019-01-27 07:50 1.0.0 s402267 - sentiment-by-emoticons N/A 58.839 1
20 [anonymized] 2019-01-27 09:31 1.0.0 Init N/A 58.839 1
21 [anonymized] 2018-04-21 21:36 1.0.0 corrected N/A 58.845 5
22 [anonymized] 2018-04-20 15:06 1.0.0 naive-bayes partially-trained N/A 58.881 2
23 [anonymized] 2019-01-27 08:38 1.0.0 Brylantowa 4 N/A 59.052 5
24 [anonymized] 2018-05-14 15:14 1.0.0 Logistic regresion with sklearn ready-made logistic-regression N/A 59.692 16
25 [anonymized] 2019-01-26 20:14 1.0.0 proba2 testA zadanie2 N/A 60.223 10
26 [anonymized] 2019-01-26 20:50 1.0.0 Rozwiązanie zadania Sentiment by emoticons challenge N/A 60.473 1
27 [anonymized] 2019-02-21 17:22 1.0.0 Second solution N/A 60.789 2
28 [anonymized] 2019-01-27 11:13 1.0.0 Wersja milion N/A 61.030 4
29 [anonymized] 2019-01-27 09:42 1.0.0 dssad N/A 61.050 9
30 [anonymized] 2019-01-26 17:40 1.0.0 kd solution N/A 61.486 1
31 [anonymized] 2019-01-26 17:24 1.0.0 mk N/A 61.500 1
32 [anonymized] 2019-01-27 08:56 1.0.0 my second challenge solution N/A 61.509 1
33 [anonymized] 2019-01-26 20:13 1.0.0 My brilliant solution N/A 61.551 15
34 [anonymized] 2019-01-26 17:54 1.0.0 my solution N/A 61.579 2
35 [anonymized] 2019-01-24 12:32 1.0.0 rubinowa 8 N/A 62.092 5
36 [anonymized] 2018-04-23 08:25 1.0.0 Saving model to file naive-bayes multinomial python self-made N/A 62.494 28
37 [anonymized] 2018-05-29 10:47 1.0.0 LogLoss and Accuracy charts naive-bayes analysis N/A 62.914 30
38 [anonymized] 2018-04-23 17:20 1.0.0 Fix lowerCase naive-bayes multinomial self-made java N/A 63.241 3
39 [anonymized] 2018-06-12 14:34 1.0.0 zad40 kenlm lm N/A 66.313 1
40 [anonymized] 2018-06-14 09:38 1.0.0 Poprawione zadanie 40 kenlm lm N/A 66.621 2
41 [anonymized] 2018-06-14 10:05 1.0.0 KenLM edited kenlm lm N/A 67.716 2
42 [anonymized] 2018-05-07 15:57 1.0.0 test included stupid better-than-no-model-baseline N/A 69.165 3
43 [anonymized] 2019-01-26 19:27 1.0.0 solution2 N/A 78.228 4
44 [anonymized] 2018-06-07 20:26 1.0.0 ready logistic regression N/A Infinity 12
45 [anonymized] 2019-01-24 21:14 1.0.0 test2 N/A Infinity 7

Graphs by parameters

passes

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seed

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