Twitter Sentiment Analysis

Guess the sentiment for texts in English.

Git repo URL: git://gonito.net/twitter-sentiment-analysis / Branch: master

(Browse at https://gonito.net/gitlist/twitter-sentiment-analysis.git/master)

Leaderboard

# submitter when description test-A Accuracy test-A Likelihood ×
1 Kamig 2019-02-15 12:33 ulmfit-textbugger (adversarials created on 30% of trainset) 0.86008 0.72071 9
2 [anonymised] 2019-01-07 23:58 LogisticRegression TfidfVectorizer 0.80796 0.64925 33
3 Stanislaw-Golebiewski 2019-05-08 10:43 hackaton naive-bayes multinomial self-made 0.78275 0.59402 2
4 [anonymised] 2019-05-06 19:50 implement multinomial Naive Bayes ... on labs naive-bayes multinomial self-made 0.78242 0.59224 2
5 [anonymised] 2019-05-06 18:41 bayes with probabilities naive-bayes multinomial self-made 0.78242 0.59169 1
6 Cezary Pukownik 2019-05-19 11:35 naive-bayes-readymade naive-bayes ready-made 0.78125 0.59135 5
7 Yurkee 2019-05-06 16:39 naive bayes ZAJECIA naive-bayes multinomial self-made 0.78404 0.58889 2
8 [anonymised] 2019-05-08 12:06 naive bayes naive-bayes multinomial self-made 0.78442 0.58313 2
9 Olga Kwaśniewska 2019-05-07 12:37 Naive Bayes naive-bayes multinomial self-made 0.76388 0.56434 1
10 Artur Nowakowski 2019-05-06 16:44 naive bayes naive-bayes multinomial self-made 0.78271 0.55833 2
11 Gabi 2019-05-06 16:51 simple bayes with probs naive-bayes multinomial self-made 0.78154 0.55690 3
12 Mateusz Hinc 2019-05-06 16:44 bayes first try naive-bayes multinomial self-made 0.77975 0.55472 2
13 Maksym Krawczyk 2019-05-07 16:54 simple NB naive-bayes multinomial self-made 0.78404 0.54970 2
14 Marcin Szczepański 2019-05-17 19:03 Most positives and most negatives words naive-bayes multinomial 0.78275 0.54941 5
15 Bogusz 2019-05-07 16:38 classes naive-bayes multinomial self-made 0.78146 0.54912 2
16 mario 2019-05-07 21:27 lower() naive-bayes multinomial self-made 0.76379 0.54520 1
17 Adrian Witczak 2019-05-07 19:18 solution naive-bayes multinomial self-made 0.76362 0.54516 4
18 PioBec 2019-05-13 15:20 test-A naive-bayes multinomial self-made 0.75754 0.52830 6
19 [anonymised] 2019-05-18 02:42 naive-bayes multino naive-bayes multinomial self-made 0.78675 0.50703 1
20 p/tlen 2018-12-18 06:57 Null model stupid null-model 0.50267 0.50000 1
21 Filip Hałoń 2019-05-07 12:13 Bayes zajęcia naive-bayes multinomial self-made 0.78442 0.36763 1
22 Damian 2019-05-22 18:45 NB Self_made 2.4 0.49883 0.35635 20
23 Joanna 2019-05-07 12:02 solution naive-bayes multinomial self-made 0.78242 0.00000 1
24 Adam Cencek 2019-05-19 12:49 Bernoulii Bayes 0.78512 0.00000 1
25 Sara Woźniak 2019-05-19 11:31 tweety naive-bayes ready-made 0.78267 0.00000 2
26 Agnieszka Buszta 2019-05-19 12:11 tweet naive-bayes ready-made 0.78267 0.00000 1