Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
json
Sub-tasks:
sentiment-classification
Languages:
Russian
Size:
10K - 100K
License:
Update README.md
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README.md
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- sentiment-classification
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---
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Kinopoisk movie reviews dataset (TOP250 & BOTTOM100 rank lists).
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In total it contains 36,591 reviews from July 2004 to November 2012.
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import pandas as pd
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df = pd.read_json('kinopoisk.jsonl', lines=True)
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df.sample(5)
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```
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- sentiment-classification
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---
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### Dataset Summary
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Kinopoisk movie reviews dataset (TOP250 & BOTTOM100 rank lists).
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In total it contains 36,591 reviews from July 2004 to November 2012.
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import pandas as pd
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df = pd.read_json('kinopoisk.jsonl', lines=True)
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df.sample(5)
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```
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### Citation
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```
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@article{blinov2013research,
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title={Research of lexical approach and machine learning methods for sentiment analysis},
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author={Blinov, PD and Klekovkina, Maria and Kotelnikov, Eugeny and Pestov, Oleg},
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journal={Computational Linguistics and Intellectual Technologies},
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volume={2},
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number={12},
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pages={48--58},
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year={2013}
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}
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```
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