README.md

---
languages:
- ru
multilinguality:
- monolingual
pretty_name: Kinopoisk
size_categories:
- 10K<n<100K
task_categories:
- sentiment-classification
---

### Dataset Summary

Kinopoisk movie reviews dataset (TOP250 & BOTTOM100 rank lists).

In total it contains 36,591 reviews from July 2004 to November 2012.

With following distribution along the 3-point sentiment scale:
- Good       27,264
- Bad         4,751
- Neutral     4,576

Load with python like:
```python3
import pandas as pd
df = pd.read_json('kinopoisk.jsonl', lines=True)
df.sample(5)
```

### Citation
```
@article{blinov2013research,
  title={Research of lexical approach and machine learning methods for sentiment analysis},
  author={Blinov, PD and Klekovkina, Maria and Kotelnikov, Eugeny and Pestov, Oleg},
  journal={Computational Linguistics and Intellectual Technologies},
  volume={2},
  number={12},
  pages={48--58},
  year={2013}
}
```