What is it about?

This research provides a framework and dataset for analyzing user reviews of Iranian tourist destinations. The framework consists of four main phases: data collection, data preprocessing, sentiment analysis, and data storage. The dataset contains approximately 25,000 user reviews collected from the Tripadvisor website. The reviews were labeled using a sentiment analysis model, and the dataset was evaluated by a team of human annotators. The framework and dataset can be used to improve the tourism industry by identifying areas that need improvement and developing data-driven strategies to attract more tourists.

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Why is it important?

This paper fills several gaps in the literature on user reviews of Iranian tourist destinations. The framework and dataset provided in this paper can be used by researchers and practitioners in the tourism industry to improve the quality of services and attract more tourists.

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This page is a summary of: A Sentiment Analysis Dataset Preparation Framework: A Case Study on User Reviews Dataset on Iranian Tourist Destinations, May 2023, Institute of Electrical & Electronics Engineers (IEEE),
DOI: 10.1109/icwr57742.2023.10139217.
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