README.md

metadata

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:

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}
}