joyson117/manipuri-sentiment-analysis-dataset

Manipuri Sentiment Analysis Dataset

About

This dataset is designed for sentiment analysis tasks in the Manipuri language, a low-resource scheduled language of India. It features 4,000 sentiment-labeled social media comments collected primarily from the review sections of Manipuri online videos and YouTube content. Originally introduced in the research work "Review Comments of Manipuri Online Video: Good, Bad or Ugly," this corpus provides ground-truth labels categorized by sentiment polarity (such as positive and negative).

How to Use

You can load the dataset using the Huggingface datasets library:

from datasets import load_dataset

ds = load_dataset("joyson117/manipuri-sentiment-analysis-dataset", "negative")

ds = load_dataset("joyson117/manipuri-sentiment-analysis-dataset", "positive")

Cite

If you use this corpus or its derivative resources for your research, kindly cite it as follows:

T.D. Singh, T.J. Singh, M. Shadang, S. Thokchom (2021). Review Comments of Manipuri Online Video: Good, Bad or Ugly. In: Maji, A.K., Saha, G., Das, S., Basu, S., Tavares, J.M.R.S. (eds) Proceedings of the International Conference on Computing and Communication Systems. Lecture Notes in Networks and Systems, vol 170. Springer, Singapore. https://doi.org/10.1007/978-981-33-4084-8_5

BiBTeX Citation

@InProceedings{10.1007/978-981-33-4084-8_5,
author="Singh, Thoudam Doren
and Singh, Telem Joyson
and Shadang, Mirinso
and Thokchom, Surmila",
title="Review Comments of Manipuri Online Video: Good, Bad or Ugly",
booktitle="Proceedings of the International Conference on Computing and Communication Systems",
year="2021",
publisher="Springer Singapore",
address="Singapore",
pages="45--53",
isbn="978-981-33-4084-8"
}