Datasets:
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#
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This repository contains a dataset of hotel reviews and ratings collected from TripAdvisor, which has been processed by us. The dataset includes reviews of various hotels along with metadata such as multiple-aspect ratings and review texts.
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Please refer to our [GitHub repo](https://github.com/jniimi/tripadvisor_dataset).
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Since the original dataset has various language, we used machine learning to extract posts where reviews are written in English. Specifically, we adopted \`fastText\` ([https://fasttext.cc](https://fasttext.cc)) by Meta, utilizing the pre-trained model [\`lid.176.bin\`](https://dl.fbaipublicfiles.com/fasttext/supervised-models/lid.176.bin).
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- **Curated by:** [More Information Needed]
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- **Language(s) (NLP):** English
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- **License:**
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### Dataset Sources [optional]
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<!-- Provide the basic links for the dataset. -->
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- **Repository:** [
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- **Paper [optional]:**
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- **Demo [optional]:** [More Information Needed]
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## Uses
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### Out-of-Scope Use
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Please follow the policy of the original data source.
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## Dataset Structure
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## Dataset Creation
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<!--### Curation Rationale
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Motivation for the creation of this dataset.
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[More Information Needed] -->
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## Citation
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**BibTeX:**
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Original paper:
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- Li, J., Ott, M., & Cardie, C. (2013, October). Identifying manipulated offerings on review portals. In Proceedings of the 2013 conference on empirical methods in natural language processing (pp. 1933-1942). [https://aclanthology.org/D13-1199/](https://aclanthology.org/D13-1199/)
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## More Information [optional]
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[More Information Needed]
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## Dataset Card Authors [optional]
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jniimi (@JvckAndersen)
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size_categories:
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- 10K<n<100K
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---
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# TripAdvisor Easy Dataset
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This repository contains a dataset of hotel reviews and ratings collected from TripAdvisor, which has been processed by us. The dataset includes reviews of various hotels along with metadata such as multiple-aspect ratings and review texts.
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Please refer to our [GitHub repo](https://github.com/jniimi/tripadvisor_dataset).
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Since the original dataset has various language, we used machine learning to extract posts where reviews are written in English. Specifically, we adopted \`fastText\` ([https://fasttext.cc](https://fasttext.cc)) by Meta, utilizing the pre-trained model [\`lid.176.bin\`](https://dl.fbaipublicfiles.com/fasttext/supervised-models/lid.176.bin).
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- **Language(s) (NLP):** English
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- **License:** Apache-2.0
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### Dataset Sources [optional]
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<!-- Provide the basic links for the dataset. -->
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- **Repository:** [https://nlp.stanford.edu/~bdlijiwei/Code.html](https://nlp.stanford.edu/~bdlijiwei/Code.html)
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- **Paper [optional]:** Li et al. (2023)
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## Uses
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### Out-of-Scope Use
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Please follow the policy of the [original data source](https://nlp.stanford.edu/~bdlijiwei/Code.html).
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## Dataset Structure
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## Dataset Creation
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## Citation
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**BibTeX:**
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Original paper:
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- Li, J., Ott, M., & Cardie, C. (2013, October). Identifying manipulated offerings on review portals. In Proceedings of the 2013 conference on empirical methods in natural language processing (pp. 1933-1942). [https://aclanthology.org/D13-1199/](https://aclanthology.org/D13-1199/)
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## Dataset Card Authors
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jniimi (@JvckAndersen)
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