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Jupyter Notebooks
King’s College London has developed complete stories around Jupyter Notebooks that form easy recipes for reproducible methods in social data science. Jupyter...-
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Efficiency - Effectiveness Trade-offs in Learning to Rank
This tutorial provides an 'Introduction to Learning to Rank' and focuses on 'Dealing with the Efficiency/Effectiveness trade-off in Web Search'. Moreover, it provides two...-
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python
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Text Analytics and Opinion Mining Module
The goals of this module are: - Have a general knowledge of text mining problems and methods. - Recognize situations in which Sentiment Analysis techniques can solve...-
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Database Module
The 'Database Module' aims to introduce database analysis, focusing on DBMS architecture, Relational Models, SQL language and SQL nested queries. It is part of the Master in...-
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Interactive Learning Environments
King’s College London developed a variety of data science materials based on R and Python. R is a de facto standard in statistical computing and visualisation, while our... -
SOS Online Abuse of Politicians
The material is a 20 minute video presentation describing the GATE team's work investigating online abuse of UK politicians. The video comprises slides and a voice-over. The...-
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Data Journalism and Story Telling
The module aims to teach how to present the knowledge extracted from big data using multimedia story telling. It also shows some of the most recent and meaningful experiences...-
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High Performance and Scalable Analytics Module
Mining with big data or big data mining has become an active research area. Running current analytical methodologies and software tools on a single personal computer cannot...-
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Data Management for Business Intelligence Module
This module provides an introduction to information storage and management performed in order to support business decisions of organizations. It is part of the Master in Big...-
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Data Mining and Machine Learning for Social Science
An introductory course for data mining and machine learning for social science. The course focuses on presenting typical data mining and machine learning techniques by using a...-
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Data Mining and Machine Learning Module
The module provides an introduction to base concepts of data mining and knowledge extraction process, introducing analytical models and algorithms for clustering,...-
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GATE Course
The material is the 2017 version of a week-long training course delivered annually by the GATE team. Over almost ten years, this course has been developed to provide basic and...-
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Annotazione semantica di delibere comunali
Progetto POC per l'uso delle tecniche di text mining su documenti della pubblica amministrazione per migliorare la trasparenza e l’accesso alle informazioni da parte dei... -
Private Cybersecurity NER BERT-base-cased model
This method includes a Python script and files of a BERT-base-cased model fine-tuned on our Cybersecurity NER dataset. The method requires as input a list of sentences that... -
Cybersecurity NER RoBERTa-base model
This method includes a Python script and files of a RoBERTa-base model fine-tuned on our Cybersecurity NER dataset. The method requires as input a list of sentences that will...-
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Cybersecurity NER SecureBERT model
This method includes a Python script and files of a SecureBERT model fine-tuned on our Cybersecurity NER dataset. The method requires as input a list of sentences that will be...-
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text/x-python
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Supporting data for "CoVEffect: Interactive System for Mining the Effects of ...
This repository contains the datasets created and extracted for the paper: Giuseppe Serna García, Ruba Al Khalaf, Francesco Invernici, Stefano Ceri, and Anna Bernasconi. 2022.... -
Private Cybersecurity NER dataset
Our dataset is created by merging APTNER and CyNER datasets, containing 13601 sentences, 347779 tokens, and 37684 entities. The split ratio was roughly 70% for training and... -
SWH Filenames
A 69 GB dataset with ~2.3 billion strings representing deduplicated names of source code files collected by Software Heritage, the great library of source code...-
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DNA 31-mers
A 12 GB dataset containing all the ~367M unique 31-mers in the DNA sequences available in the Pizza&Chili Corpus (https://pizzachili.dcc.uchile.cl/texts.html). This dataset...-
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