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--- |
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license: apache-2.0 |
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configs: |
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- config_name: default |
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data_files: |
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- split: english_observations |
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path: UX-comments_english_observations.jsonl |
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- split: english_sentences |
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path: UX-comments_english_sentences.jsonl |
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- split: spanish_observations |
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path: UX-comments_spanish_observations.jsonl |
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- split: spanish_sentences |
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path: UX-comments_spanish_sentences.jsonl |
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size_categories: |
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- n<2K |
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task_categories: |
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- text-classification |
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language: |
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- en |
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- es |
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--- |
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# Cross-Domain Polarity Models to Evaluate User eXperience in E-learning |
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### Abstract |
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Virtual learning environments are growing in importance as fast as e-learning, which is becoming highly demanded by universities and students worldwide. |
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This paper investigates how to automatically evaluate User eXperience in this domain using sentiment analysis techniques. |
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For this purpose, a corpus has been built with the opinions of 583 users (107 English speakers and 476 Spanish speakers) about three learning management systems in different courses. |
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All the collected opinions were manually labeled with polarity information (positive, negative, or neutral) by three human annotators, both at the whole opinion and sentence levels. |
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### Dataset Information |
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| | P | NEU | N | Total | |
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|---|---:|---:|---:|---:| |
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| Spanish Observations | 338 | 53 | 85 | 476 | |
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| Spanish Sentences | 404 | 41 | 142 | 587 | |
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| English Observations | 56 | 21 | 30 | 107 | |
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| English Sentences | 90 | 14 | 80 | 184 | |
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P=Positive; NEU=Neutral; N=Negative |
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### Citation Information |
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If you use this dataset, please cite the following paper: |
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``` |
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@article{sanchis2021cross, |
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title={Cross-Domain Polarity Models to Evaluate User eXperience in E-learning}, |
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author={Sanchis-Font, R. and Castro-Bleda, MJ. and Gonz{\'a}lez-Barba, J{\'A}. and Pla Santamar{\'\i}a, F. and Hurtado Oliver, LF.}, |
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journal={Neural Processing Letters}, |
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volume={53}, |
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pages={3199--3215}, |
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year={2021}, |
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doi={https://doi.org/10.1007/s11063-020-10260-5}, |
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url={http://hdl.handle.net/10251/176382}, |
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} |
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``` |
