Buzz in social media
Donated on 5/26/2013
This data-set contains examples of buzz events from two different social networks: Twitter, and Tom's Hardware, a forum network focusing on new technology with more conservative dynamics.
Dataset Characteristics
Time-Series, Multivariate
Subject Area
Computer Science
Associated Tasks
Regression, Classification
Feature Type
Integer, Real
# Instances
140000
# Features
-
Dataset Information
Additional Information
Please see http://ama.liglab.fr/datasets/buzz/
Has Missing Values?
No
Variables Table
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0 to 10 of 77
Additional Variable Information
Please see http://ama.liglab.fr/datasets/buzz/
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Download
Install the ucimlrepo package
pip install ucimlrepo
Import the dataset into your code
View the full documentationfrom ucimlrepo import fetch_ucirepo # fetch dataset buzz_in_social_media = fetch_ucirepo(id=248) # data (as pandas dataframes) X = buzz_in_social_media.data.features y = buzz_in_social_media.data.targets # metadata print(buzz_in_social_media.metadata) # variable information print(buzz_in_social_media.variables)
0 citations
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Citation
Kawala,Franois, Douzal,Ahlame, Gaussier,Eric, and Diemert,Eustache. (2013). Buzz in social media . UCI Machine Learning Repository. https://doi.org/10.24432/C56G6V.
BibTeX
@misc{misc_buzz_in_social_media__248,
author = {Kawala,Franois, Douzal,Ahlame, Gaussier,Eric, and Diemert,Eustache},
title = {{Buzz in social media }},
year = {2013},
howpublished = {UCI Machine Learning Repository},
note = {{DOI}: https://doi.org/10.24432/C56G6V}
}Creators
Franois Kawala
Ahlame Douzal
Eric Gaussier
Eustache Diemert
DOI
License
This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
This allows for the sharing and adaptation of the datasets for any purpose, provided that the appropriate credit is given.