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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2021
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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Same Sentiment Classification Train/Dev/Test Pair IDs

Authors: Körner, Erik; Hakimi, Ahmad Dawar; Heyer, Gerhard; Potthast, Martin;

Same Sentiment Classification Train/Dev/Test Pair IDs

Abstract

This "dataset" only includes the compiled pairings of the Yelp Business Review Dataset. To get access to the actual review texts, please follow the instructions on the Yelp Dataset webpage. The data format is JSONlines. Python Load Example: import pandas as pd traindev_df = pd.read_json("df_traindev.jsonl", lines=True) test_df = pd.read_json("df_test.jsonl", lines=True) # example access to single business/review id s1_bid = test_df.iloc[0]["sent1_business_id"] s1_rid = test_df.iloc[0]["sent1_review_id"] s2_bid = test_df.iloc[0]["sent2_business_id"] s2_rid = test_df.iloc[0]["sent2_review_id"] label = test_df.iloc[0]["is_same_side"] See documentation at: Yelp Dataset Schemata (only business.json and review.json were used) Yelp Business Category Hierarchy (download the json file as all_category_list.json) For details on how the data was compiled and used in our experiments, please refer to our code repository. Other derived data splits can be reproduced deterministically by using the same random seed as in our experiments.

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Keywords

Sentiment, Same Sentiment Classification, Yelp Business Reviews

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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).
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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.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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