README.md

metadata

language:
  - tr
tags:
  - sentiment-analysis
license: CC-BY-SA-4.0
datasets:
  - dataset1
  - dataset2
metrics:
  - metric1
  - metric2

Dataset

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.

References

• https://www.kaggle.com/burhanbilenn/duygu-analizi-icin-urun-yorumlari
• https://github.com/fthbrmnby/turkish-text-data
• https://www.kaggle.com/mustfkeskin/turkish-wikipedia-dump
• https://github.com/ezgisubasi/turkish-tweets-sentiment-analysis
• http://humirapps.cs.hacettepe.edu.tr/