Twitter Sentiment Analysis

Guess the sentiment for texts in English.

# submitter when description dev-0 Accuracy dev-0 Likelihood test-A Accuracy test-A Likelihood
2 [anonymised] 2019-01-08 01:38 LogisticRegression TfidfVectorizer without @-mentions 0.80295 0.64782 0.80388 0.64628
3 [anonymised] 2019-01-08 01:30 LogisticRegression TfidfVectorizer without @-mentions, URLs 0.80284 0.64713 0.80308 0.64548
4 [anonymised] 2019-01-08 01:25 LogisticRegression TfidfVectorizer without HTML tags, @-mentions, hash-tags, URLs, ... N/A N/A 0.80229 0.64400
1 [anonymised] 2019-01-07 23:58 LogisticRegression TfidfVectorizer 0.80665 0.65007 0.80796 0.64925
5 [anonymised] 2019-01-07 23:45 BernoulliNB TfidfVectorizer 0.78515 0.60497 0.78612 0.60469
10 [anonymised] 2019-01-07 23:38 NN: 10 Relu, 1 sigmoid - countvec 0.50108 0.49999 0.49750 0.49999
9 [anonymised] 2019-01-07 23:31 NN: 10 Relu, 1 sigmoid - tfidf 0.50104 0.50000 0.49825 0.50000
6 [anonymised] 2019-01-07 18:27 BernoulliNB 0.78515 0.60497 0.78612 0.60469
7 [anonymised] 2019-01-07 17:49 MultinomialNB 0.77815 0.58650 0.77825 0.58509
8 p/tlen 2018-12-18 06:57 Null model stupid null-model 0.49912 0.50000 0.50267 0.50000