{"alisaqallah--emotion-with-length": { "description": "Emotion is a dataset of English Twitter messages with six basic emotions: anger, fear, joy, love, sadness, and surprise. For more detailed information please refer to the paper.\n", "citation": "@inproceedings{saravia-etal-2018-carer,\n title = \"{CARER}: Contextualized Affect Representations for Emotion Recognition\",\n author = \"Saravia, Elvis and\n Liu, Hsien-Chi Toby and\n Huang, Yen-Hao and\n Wu, Junlin and\n Chen, Yi-Shin\",\n booktitle = \"Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing\",\n month = oct # \"-\" # nov,\n year = \"2018\",\n address = \"Brussels, Belgium\",\n publisher = \"Association for Computational Linguistics\",\n url = \"https://www.aclweb.org/anthology/D18-1404\",\n doi = \"10.18653/v1/D18-1404\",\n pages = \"3687--3697\",\n abstract = \"Emotions are expressed in nuanced ways, which varies by collective or individual experiences, knowledge, and beliefs. Therefore, to understand emotion, as conveyed through text, a robust mechanism capable of capturing and modeling different linguistic nuances and phenomena is needed. We propose a semi-supervised, graph-based algorithm to produce rich structural descriptors which serve as the building blocks for constructing contextualized affect representations from text. The pattern-based representations are further enriched with word embeddings and evaluated through several emotion recognition tasks. Our experimental results demonstrate that the proposed method outperforms state-of-the-art techniques on emotion recognition tasks.\",\n}\n", "homepage": "https://github.com/dair-ai/emotion_dataset", "license": "", "features": { "text": { "dtype": "string", "id": null, "_type": "Value" }, "label": { "num_classes": 6, "names": [ "sadness", "joy", "love", "anger", "fear", "surprise" ], "id": null, "_type": "ClassLabel" }, "tweet_length": { "dtype": "int64", "id": null, "_type": "Value" } }, "post_processed": null, "supervised_keys": { "input": "text", "output": "label" }, "task_templates": [ { "task": "text-classification", "text_column": "text", "label_column": "label" } ], "builder_name": "emotion", "config_name": "default", "version": { "version_str": "0.0.0", "description": null, "major": 0, "minor": 0, "patch": 0 }, "splits": { "train": { "name": "train", "num_bytes": 1869533, "num_examples": 16000, "dataset_name": "emotion-with-length" } }, "download_checksums": null, "download_size": 1026123, "post_processing_size": null, "dataset_size": 1869533, "size_in_bytes": 2895656 }}