| {"default": {"description": "The researchers of OCLAR Marwan et al. (2019), they gathered Arabic costumer reviews from Google reviewsa and Zomato website \n(https://www.zomato.com/lebanon) on wide scope of domain, including restaurants, hotels, hospitals, local shops, etc.\nThe corpus finally contains 3916 reviews in 5-rating scale. For this research purpose, the positive class considers\nrating stars from 5 to 3 of 3465 reviews, and the negative class is represented from values of 1 and 2 of about 451 texts.\n", "citation": "\n@misc{Dua:2019 ,\nauthor = \"Dua, Dheeru and Graff, Casey\",\nyear = \"2017\",\ntitle = \"{UCI} Machine Learning Repository\",\nurl = \"http://archive.ics.uci.edu/ml\",\ninstitution = \"University of California, Irvine, School of Information and Computer Sciences\" }\n\n@InProceedings{AlOmari2019oclar,\ntitle = {Sentiment Classifier: Logistic Regression for Arabic Services Reviews in Lebanon},\nauthors={Al Omari, M., Al-Hajj, M., Hammami, N., & Sabra, A.},\nyear={2019}\n}\n", "homepage": "http://archive.ics.uci.edu/ml/datasets/Opinion+Corpus+for+Lebanese+Arabic+Reviews+%28OCLAR%29#", "license": "", "features": {"pagename": {"dtype": "string", "id": null, "_type": "Value"}, "review": {"dtype": "string", "id": null, "_type": "Value"}, "rating": {"dtype": "int8", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "oclar", "config_name": "default", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 398204, "num_examples": 3916, "dataset_name": "oclar"}}, "download_checksums": {"http://archive.ics.uci.edu/ml/machine-learning-databases/00499/OCLAR%20-%20Opinion%20Corpus%20for%20Lebanese%20Arabic%20Reviews.csv": {"num_bytes": 382976, "checksum": "78e0bc3d5accd737d3df45297f3f384a0238e2aa81006d546fa2cda92de12197"}}, "download_size": 382976, "post_processing_size": null, "dataset_size": 398204, "size_in_bytes": 781180}} |