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artist/Bulgarian-Online-Store-Feedback-Text-Analysis

Customer Feedback Dataset Description This dataset contains customer reviews collected from various online stores and categorized into compliments, complaints, and mixed reviews. It is intended for use in sentiment analysis and customer feedback analysis projects. Dataset Structure Number: Identifier for the review. Review: Text of the review. Category: Category of the review (compliments, complaints, mixed). OnlineStore: The online store from… See the full description on the dataset page: https://huggingface.co/datasets/artist/Bulgarian-Online-Store-Feedback-Text-Analysis.

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Dataset Card

Customer Feedback Dataset

Description

This dataset contains customer reviews collected from various online stores and categorized into compliments, complaints, and mixed reviews. It is intended for use in sentiment analysis and customer feedback analysis projects.

Dataset Structure

  • —Number: Identifier for the review.
  • —Review: Text of the review.
  • —Category: Category of the review (compliments, complaints, mixed).
  • —OnlineStore: The online store from which the review was collected.
  • —Source: The source website of the review.
  • —ReviewMonth: The month and year when the review was posted.
  • —WebAddress: URL of the review source.

Split

The dataset is split into training and testing sets:

  • —Training set: 80% of the data.
  • —Testing set: 20% of the data.

Usage

This dataset can be used to train models for sentiment analysis or to analyze trends in customer feedback across different time periods and online platforms.

License

This dataset is available under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.

Citation

If you use this dataset in your research, please cite it as follows:

@data{DVN/TXIK9P_2018,
    author = {Georgieva-Trifonova, Tsvetanka and Stefanova, Milena and Kalchev, Stefan},
    publisher = {Harvard Dataverse},
    title = {{Dataset for ``Customer Feedback Text Analysis for Online Stores Reviews in Bulgarian''}},
    year = {2018},
    version = {V1},
    doi = {10.7910/DVN/TXIK9P},
    url = {https://doi.org/10.7910/DVN/TXIK9P}
}