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Tags: Text mining

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  • TrainingMaterial

    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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  • TrainingMaterial

    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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  • TrainingMaterial

    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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  • TrainingMaterial

    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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  • TrainingMaterial

    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...
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  • TrainingMaterial

    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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  • TrainingMaterial

    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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  • TrainingMaterial

    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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  • TrainingMaterial

    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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  • TrainingMaterial

    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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  • TrainingMaterial

    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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  • TrainingMaterial

    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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  • Experiment

    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...
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  • Access required...

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    Method

    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...
  • Method

    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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  • Method

    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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  • Dataset

    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....
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  • Access required...

    ×

    Dataset

    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...
  • Dataset

    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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  • Dataset

    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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You can also access this registry using the API (see API Docs).