Datasetpublic

NLPC-UOM/Student_feedback_analysis_dataset

README If you use this dataset, cite Herath, M., Chamindu, K., Maduwantha, H., & Ranathunga, S. (2022, June). Dataset and Baseline for Automatic Student Feedback Analysis. In Proceedings of the Thirteenth Language Resources and Evaluation Conference (pp. 2042-2049). ## Annotated Student Feedback annotations_creators: [] language: - en license: - mit This resource contains 3000 student feedback data that have been annotated for aspect terms, opinion… See the full description on the dataset page: https://huggingface.co/datasets/NLPC-UOM/Student_feedback_analysis_dataset.

sourceHugging Faceupdated 2y agoView on Hugging Face

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Dataset Card

README

If you use this dataset, cite Herath, M., Chamindu, K., Maduwantha, H., & Ranathunga, S. (2022, June). Dataset and Baseline for Automatic Student Feedback Analysis. In Proceedings of the Thirteenth Language Resources and Evaluation Conference (pp. 2042-2049).

Annotated Student Feedback

annotations_creators: [] language:

—en license:
—mit --- This resource contains 3000 student feedback data that have been annotated for aspect terms, opinion terms, polarities of the opinion terms towards targeted aspects, document-level opinion polarities, and sentence separations.

Folder Structure of the resource,

bash

    └───Annotated Student Feedback Data
    ├───Annotator_1
    │   ├───Annotated_part_1
    │   ├───Annotated_part_2
    │   └───towe-eacl_recreation_data_set
    │       ├───defomative comment removed
    │       └───less than 100 lengthy comment
    ├───Annotator_2
    │   ├───Annotated_part_3
    │   ├───Annotated_part_4
    │   └───Annotated_part_5
    └───Annotator_3
        └───Annotated_part_6

Each Annotatedpart# folders contain three files. Those are in XMI, XML, and ZIP formats. XMI files contain the annotated student feedback data and XML files contain tagsets used for annotation.

Find the code for reading data from XML and XMI files in code_for_read_annotated_data.py