winvoker commited on
Commit
dff8640
1 Parent(s): 8c9dbd4

Create README.md

Browse files
Files changed (1) hide show
  1. README.md +23 -0
README.md ADDED
@@ -0,0 +1,23 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ language:
3
+ - "tr"
4
+ tags:
5
+ - "sentiment-analysis"
6
+ license: "CC-BY-SA-4.0"
7
+ datasets:
8
+ - dataset1
9
+ - dataset2
10
+ metrics:
11
+ - metric1
12
+ - metric2
13
+ ---
14
+
15
+ # Dataset
16
+ This dataset contains positive , negative and notr sentences from several data sources given in the references. In the most sentiment models , there are only two labels; positive and negative. However , user input can be totally notr sentence. For such cases there were no data I could find. Therefore I created this dataset with 3 class. Positive and negative sentences are listed below.
17
+
18
+ # References
19
+ - https://www.kaggle.com/burhanbilenn/duygu-analizi-icin-urun-yorumlari
20
+ - https://github.com/fthbrmnby/turkish-text-data
21
+ - https://www.kaggle.com/mustfkeskin/turkish-wikipedia-dump
22
+ - https://github.com/ezgisubasi/turkish-tweets-sentiment-analysis
23
+ - http://humirapps.cs.hacettepe.edu.tr/