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Dataset . 2023
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ZENODO
Dataset . 2023
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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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DataCI Continuous Text Classification Example Using Yelp Dataset

Authors: Li, Yuanming; Yelp Inc.;

DataCI Continuous Text Classification Example Using Yelp Dataset

Abstract

We are using the Yelp Review Dataset as the streaming data source for the DataCI example. We have processed the Yelp review dataset into a daily-based dataset by its `date`. In this dataset, we will only use the data from 2020-09-01 to 2020-11-30 to simulate the streaming data scenario. We are downloading two versions of the training and validation datasets: `yelp_review_train@2020-10`: from 2020-09-01 to 2020-10-15 `yelp_review_val@2020-10`: from 2020-10-16 to 2020-10-31 `yelp_review_train@2020-11`: from 2020-10-01 to 2020-11-15 `yelp_review_val@2020-11`: from 2020-11-16 to 2020-11-30

Keywords

Yelp, DataCI

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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