nicolay-r / RuAttitudes

Dataset as a part of RANLP'2019 paper "Distant Supervision for Sentiment Attitude Extraction"

RuAttitudes 2.0

📓 Update 01 October 2023: this collection is now available in arekit-ss for a quick sampling of contexts with all subject-object relation mentions with just single script into JSONL/CSV/SqLite including (optional) language transfering 🔥 [Learn more ...]

RuAttitudes -- is a collection of automatically labeled sentiment attitudes, which is developed using distant supervision (DS) approach. It is considered as an application for machine learning model training. This repository provides a collection and reader (written in Python).

News processing workflow, version 2.0 [code]

Download

RuAttitudes-2.0-Base (2.8 mln. news processed)

RuAttitudes-2.0-Large (8.8 mln. news processed)

Contents

• Format Description
• Reader
• References

Format Descriptions

See the following documentation.

Collection Reader

📓 Update 01 October 2023: this collection is now available in arekit-ss for a quick sampling of contexts with all subject-object relation mentions with just single script into JSONL/CSV/SqLite including (optional) language transfering 🔥 [Learn more ...]

Folder reader contains a collection reader (source file parsers), written in Python-3.6.

Please refer to read.py, as it provides an example of how this collection could be parsed/readed.

References

@inproceedings{rusnachenko2021language,
    title={Language Models Application in Sentiment Attitude Extraction Task},
    author={Rusnachenko, Nicolay},
    booktitle={Proceedings of the Institute for System Programming of the RAS (Proceedings of ISP RAS), vol.33},
    year={2021},
    number={3},
    pages={199--222},
    authorvak={true},
    authorconf={false},
    language={russian}
}