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shiv213/Eye-tracking-and-Sentiment-Analysis-Dataset-II

Eye-tracking and Sentiment Analysis Dataset-II (without fixation data) (1) "text_and_annotations.csv" - Contains Sentences taken for our experiment and Annotation results. Columns: Text_ID - Id of the text Text - Sentence(s). Default_Polarity - Gold polarity label [-1 for negative sentiment and 1 for positive sentiment] Aspect - Entity with respect to which sentiment is expressed. Source - From where the text has been obtained. Sarcasm - Whether the text contains irony/sarcasm or not. [P1… See the full description on the dataset page: https://huggingface.co/datasets/shiv213/Eye-tracking-and-Sentiment-Analysis-Dataset-II.

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Dataset Card

Eye-tracking and Sentiment Analysis Dataset-II (without fixation data)

(1) "textandannotations.csv" - Contains Sentences taken for our experiment and Annotation results.

—Columns:
—Text_ID - Id of the text
—Text - Sentence(s).
—Default_Polarity - Gold polarity label [-1 for negative sentiment and 1 for positive sentiment]
—Aspect - Entity with respect to which sentiment is expressed.
—Source - From where the text has been obtained.
—Sarcasm - Whether the text contains irony/sarcasm or not.
—[P1 P2 P3 P4 P5 P6 P7] -> Annotation given by the participant [-1 ->Negative and 1 ->Positive]

For dataset related details and other details regarding data collection procedure, please refer to the following paper:

Abhijit Mishra, Diptesh Kanojia and Pushpak Bhattacharyya, Predicting Readers' Sarcasm Understandability by Modelling Gaze Behaviour, AAAI 2016, Phoenix, USA, Feb 12-17, 2016.

If you are using this dataset, please cite the above paper.