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数据描述
About Dataset
Yelp Reviews Sentiment Dataset
A Challenge for Natural Language Processing
By Huggingface Hub [source]
About this dataset
The Yelp Reviews Polarity dataset is a collection of Yelp reviews that have been labeled as positive or negative. This dataset is perfect for natural language processing tasks such as sentiment analysis
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How to use the dataset
This YELP reviews dataset is a great natural language processing dataset for anyone looking to get started with text classification. The data is split into two files: train.csv and test.csv. The training set contains 7,000 reviews with labels (0 = negative, 1 = positive), and the test set contains 3,000 unlabeled reviews.
To get started with this dataset, download the two CSV files and put them in the same directory. Then, open up train.csv in your favorite text editor or spreadsheet software (I like using Microsoft Excel). Next, take a look at the first few rows of data to get a feel for what you're working with:
text label So there is no way for me to plug it in here in the US unless I go by… 0
Research Ideas
- This dataset could be used to train a machine learning model to classify Yelp reviews as positive or negative.
- This dataset could be used to train a machine learning model to predict the star rating of a Yelp review based on the text of the review.
- This dataset could be used to build a natural language processing system that generates fake Yelp reviews
Acknowledgements
If you use this dataset in your research, please credit the original authors.
License
License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication
No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.
Columns
File: train.csv
Column name | Description |
---|---|
text | The text of the review. (string) |
label | The label of the review. (string) |
File: test.csv
Column name | Description |
---|---|
text | The text of the review. (string) |
label | The label of the review. (string) |
Acknowledgements
If you use this dataset in your research, please credit the original authors.
If you use this dataset in your research, please credit Huggingface Hub.
