-
ArchiveSpark
ArchiveSpark is an Apache Spark framework for easy data access, processing, extraction as well as derivation for Web archives and archival collections. It has a simple and... -
Facebook - New Orleans regional network
This dataset contains information about 90,269 users and 3,646,662 friendship links between those users. These users belong to the New Orleans Facebook regional network. The...-
HTML
The resource: 'New Orleans Facebook dataset' is not accessible as guest user. You must login to access it!
-
HTML
-
German Academic Web
The dataset contains regular crawls of the websites for German academic institutions. -
MSN Search query log
The data consists of an MSN Search query log excerpt with 15 million queries, from US users, sampled over one month of activity. Data attributes made available per query: 1)... -
A dataset of gamers on Twitter
This gaming-related dataset consists of 8932 users (labeled as gamers) engaging in game-related conversations. We have collected (June 2018) their timeline (the most recent 3200... -
Full Network Embedding
Implements a method of transfer learning for feature extraction including both convolutional and fully connected layers of a neural network. -
Product Reviews for Ordinal Quantification
This data set comprises a labeled training set, validation samples, and testing samples for ordinal quantification. It appears in our research paper "Ordinal Quantification... -
-
CSV
The resource: 'Ego Network of Words in ...' is not accessible as guest user. You must login to access it!
-
CSV
-
Wikipedia Word Embeddings
Embeddings were created through applying word2vec skipgram to a corpus of wikipedia non-stub articles from a December 2015 English dump with the following parameters: -cbow 0... -
Tail granger causality network construction
This method constructs a causality network by implementing Granger-causality tests for extreme events in multivariate time series. -
Detecting Content That Triggers Polarization in Social Networks
We provide a method that finds echo chambers in online social networks. The method considers controversial contents and finds users of the network who discuss these contents... -
Cherenkov Telescope Data for Ordinal Quantification
This labeled data set is targeted at ordinal quantification. It appears in our research paper "Ordinal Quantification Through Regularization", which we have published at... -
Learning to quantify: LeQua 2022 datasets
The aim of LeQua 2022 (the 1st edition of the CLEF “Learning to Quantify” lab) is to allow the comparative evaluation of methods for “learning to quantify” in textual... -
Ariadne Dutch Archaeology Named Entity Recognizer
Identifies terms and phrases in Dutch for analysing archaeological text. The method delivers named entities of archaeological context, physical object, material, time...-
method-engine
The resource: 'Method Engine' is not accessible as guest user. You must login to access it!
-
method-engine
-
Maximum entropy network reconstruction
This method reconstructs a bipartite network by using the Maximum Entropy principle. This method is useful to assess aggregated and single bank's systemicness and vulnerability... -
Download mobility data with scikit-mobility
The data module of scikit-mobility provides users with an easy way to: 1) Download ready-to-use mobility data (e.g., trajectories, flows, spatial tessellations, and auxiliary... -
QuickRank
QuickRank is an efficient Learning to Rank toolkit providing multi-threaded C++ implementation of several algorithms: GBRT, LambdaMART, Oblivious GBRT / LambdaMART,...-
URL
The resource: 'Quick Rank Test' is not accessible as guest user. You must login to access it!
-
URL
The resource: 'Quick Rank Train' is not accessible as guest user. You must login to access it!
-
URL
The resource: 'Quick Rank Train No Validation' is not accessible as guest user. You must login to access it!
-
URL
-
Ariadne English Archaeology Named Entity Recognizer
Identifies terms and phrases in English for analysing archaeological text. The method delivers named entities of archaeological context, physical object, material, time...-
method-engine
The resource: 'Method Engine' is not accessible as guest user. You must login to access it!
-
method-engine
