RDF:
Predict keywords activities in a online social media
Predict keywords activities in a online social media

The data from Twitter was collected during 360 consecutive days. It was done by querying 1497 English keywords sampled from Wikipedia. This dataset is proposed in a Learning to rank setting.

The data from Twitter was collected during 360 consecutive days. It was done by querying 1497 English keywords sampled from Wikipedia. This dataset is proposed in a Learning to rank setting.

Data and Resources

  • dataset-keyword-activity.tar.gzTAR

  • Predict keywords activities in a online social ...JSON

Additional Info

Field Value
Author MCI Machine Learning Repository
Last Updated September 16, 2021, 14:16 (CST)
Created September 16, 2021, 14:15 (CST)
Area "Computer"
Associated Tasks "N/A"
Attribute Characteristics "Integer
DPA_DateImported 212582112
DPA_former_id df2c57f7-0879-4314-a71e-2c17cfd39027
DPA_former_name predict-keywords-activities-in-a-online-social-media
DPA_former_owner_org aac07418-7ef8-49ab-b0b2-e4e75a5379fe
DPA_former_site https://scidm.nchc.org.tw
Data Set Characteristics "Multivariate
Date Donated "2013-12-12"
Missing Values "N/A"
Number of Instances "51"
Number of Web Hits "32203"
Number_of_Attributes "35"
AODP Economy Taiwan