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旅行顾问酒店评论

旅行顾问酒店评论

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Arts and Entertainment,Travel,NLP,Ratings and Reviews,Hotels and Accommodations Classification

数据结构 ? 14.27M

    Data Structure ?

    * 以上分析是由系统提取分析形成的结果,具体实际数据为准。

    README.md

    # Abstract > Explore Hotel aspects and Predict the rating of each review. # About this dataset > Hotels play a crucial role in traveling and with the increased access to information new pathways of selecting the best ones emerged. With this dataset, consisting of 20k reviews crawled from Tripadvisor, you can explore what makes a great hotel and maybe even use this model in your travels! # How to use > - Predict Review Rating - Topic Modeling on Reviews - Explore key aspects that make hotels good or bad # Acknowledgements > If you use this dataset in your research, please credit the authors. > Citation Alam, M. H., Ryu, W.-J., Lee, S., 2016. Joint multi-grain topic sentiment: modeling semantic aspects for online reviews. Information Sciences 339, 206–223. [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.1219899.svg)](https://doi.org/10.5281/zenodo.1219899) > License CC BY NC 4.0 > Splash banner Photo by [Rhema Kallianpur](https://unsplash.com/@rhemakallianpur?utm_source=unsplash&utm_medium=referral&utm_content=creditCopyText) on [Unsplash](https://unsplash.com/photos/uocSnWMhnAs). > Splash icon Logo by Tripadvisor. > [More Datasets](https://www.kaggle.com/andrewmvd/datasets)
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