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Datasets:
komari6
/
ajgt_twitter_ar

Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Sub-tasks:
sentiment-classification
Languages:
Arabic
Size:
1K - 10K
Libraries:
Datasets
pandas
License:
Dataset card Viewer Files Community
3
ajgt_twitter_ar
File size: 1,753 Bytes 
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{
    "plain_text": {
        "description": "Arabic Jordanian General Tweets (AJGT) Corpus consisted of 1,800 tweets annotated as positive and negative. Modern Standard Arabic (MSA) or Jordanian dialect.\n",
        "citation": "@inproceedings{alomari2017arabic,\n  title={Arabic tweets sentimental analysis using machine learning},\n  author={Alomari, Khaled Mohammad and ElSherif, Hatem M and Shaalan, Khaled},\n  booktitle={International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems},\n  pages={602--610},\n  year={2017},\n  organization={Springer}\n}\n",
        "homepage": "https://github.com/komari6/Arabic-twitter-corpus-AJGT",
        "license": "",
        "features": {
            "text": {
                "dtype": "string",
                "_type": "Value"
            },
            "label": {
                "names": [
                    "Negative",
                    "Positive"
                ],
                "_type": "ClassLabel"
            }
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                "task": "text-classification",
                "label_column": "label"
            }
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        "dataset_name": "ajgt_twitter_ar",
        "config_name": "plain_text",
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            "version_str": "1.0.0",
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            "minor": 0,
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                "num_examples": 1800,
                "dataset_name": null
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}