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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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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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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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Private Italian Thesaurus for Tourism domain
An Italian thesaurus in the domain of the Tourism, counting 2,684 concepts, organized according to semantic relationships (equivalence, hierarchical and associative). The... -
Introduction to Data Curation
This course is an introduction to data collection, data preparation & transformation and data analysis. It contains the essential concepts for a researcher in order to...-
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Twitter fake followers
Fake followers are fake accounts massively created to follow a target account and that can be bought from online markets. In other words, their goal is that of increasing the... -
Twitter social bots
Spambots are automated accounts (i.e., accounts driven by a bot) that repeatedly advertise unsolicited and often harmful content (e.g., malware, URLs to phishing Web sites,... -
Brexit Twitter User Vote Intent
A list of users for which vote intent in the UK EU membership referendum has been established. -
UK General Election Vote Intent
A list of Twitter users for whom party political allegiance/vote intent has been established. -
Articles and comments of major Estonian newspapers
The dataset contains articles and comments of four major Estonian news portals since early 2000s to 2016. -
GSP - Geo-Semantic-Parsing
GSP receives a text document as input and returns an enriched document, where all mentions of places/locations are associated to the corresponding geographic coordinates. To...
