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Text Mining with R
This is the website for Text Mining with R! Visit the GitHub repository for this site, find the book at O’Reilly, or buy it on Amazon. This work by Julia Silge and David Robinson is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 United States License. via Pocket
analysis  books  mining  text 
december 2018 by kintopp
Text und Data Mining – in Recht, Wissenschaft und Gesellschaft
Die Tagung möchte das Problemfeld Text und Data Mining in Recht,
Wissenschaft und Gesellschaft aus vielfältiger, interdisziplinärer
Perspektive beleuchten und einen Dialog entstehen lassen, in dem die
Beteiligten ihre Anforderungen formulieren können, um so auf eine
produktive weitere Ausgestaltung der rechtlichen Rahmenbedingungen
des Text und Data Minings hinwirken zu können.
analysis  conference  germany  ip  legal  mining  text 
may 2018 by kintopp
GitHub - organisciak/Text-Mining-Course: Course Notes for 590TXL, University of Illinois at Urbana-Champaign
This course introduces students to the knowledge discovery process and methods used to mine patterns from a collection of text. We will critically review text mining methods developed in the knowledge discovery and databases, information science, and computational linguistics communities. via Pocket
analysis  mining  nlp  syllabus  text 
july 2017 by kintopp
The acronym HiTiME stands for Historical Timeline Mining and Extraction. via Pocket
history  mining  models  netherlands  nlp  time  timelines 
april 2017 by kintopp
A metadata geoparsing system for geocoding name recognition and resolution in metadata records
Get this ArticleAuthors: Nuno Freire IST / INESC-ID, Lisbon, Portugal José Borbinha IST / INESC-ID, Lisbon, Portugal Pável Calado IST / INESC-ID, Lisbon, Portugal Bruno Martins IST / INESC-ID, Lisbon, Portugal via Pocket
geo  metadata  mining  nlp  places  text 
april 2017 by kintopp
Speech and Language Processing
Draft chapters in progress, January 2017 Typos and comments welcome! Just let us know the date on the draft of the chapter. Feel free to use the draft slides in your classes. (Sorry for the random chapter numbers here and in the pdfs, we are constantly reorganizing. via Pocket
analysis  books  learn  mining  nlp  text  ml 
april 2017 by kintopp
Frontiers | A Simple Set of Rules for Characters and Place Recognition in French Novels | Digital Literary Studies
This article describes a simple unsupervised system for automatic extraction and classification of named entities in French novels. The solution presented combines a set of different standalone classifiers within a meta-recognition system. via Pocket
france  literature  mining  people  places  text  nlp  ml 
april 2017 by kintopp
CfP #dhiha7: Text as a resource. Text Mining in Historical Science – Digital Humanities am DHIP
Conference june 29th and 30th 2017. “What do you do with a million books?” – Gregory Crane’s question does not only raise questions about the conditions in which the Humanities acquire knowledge. via Pocket
analysis  cfp  conference  france  mining  sentiment  topics  text 
february 2017 by kintopp
Speech and Language Processing
Speech and Language Processing (3rd ed. draft) Dan Jurafsky and James H. Martin Draft chapters in progress, August 28, 2017 Chapter 8, 13, 29 and 30 are now here! Here's a single pdf of the whole book-so-far! Chapter Slides Relation to 2nd ed. 1: Introduction [Ch. 1 in 2nd ed. via Pocket
analysis  books  learn  mining  nlp  text  ml 
august 2016 by kintopp
Large corpus of parsed sentences in English - Online Technical Discussion Groups—Wolfram Community
I use this corpus. It is only 15 million words, but it is free. When I unzip the file on the desktop I get a folder called OANC-GrAF. There are lots of annotations, but I am only interested in the txt-files: 8824 txt-files. We can import and analyse all sentences. via Pocket
june 2016 by kintopp
Since publishing our post about “Extracting Structured Data From Recipes Using Conditional Random Fields,” we’ve received a tremendous number of requests to release the data and our code. via Pocket
mining  nlp  tools  ml 
may 2016 by kintopp
HRI Digital | Linguistic DNA of Modern Western Thought
The aim of this project is to understand the evolution of early modern thought by modelling the semantic and conceptual changes which occurred in English discourse (c.1500-c.1800). via Pocket
linguistic  text  analysis  mining 
january 2016 by kintopp
Exploring Online Language Resources | Academic IT Research Support team
A course in the IT Learning Programme at the University of Oxford in Hilary Term 2016 will explore how we can use online language datasets to explore language, history and culture. via Pocket
learn  oxford  text  mining 
december 2015 by kintopp
Call for Papers | 13th ESWC 2016
ESWC is one of the key academic conferences to present research results and new developments in the area of the Semantic Web. For its 13th edition, ESWC will be back in Hersonissou, Crete, between Sunday May 29th  and Thursday June 2nd 2016. via Pocket
conference  linked  data  nlp  semantic  web  text  mining  ml 
december 2015 by kintopp
Text Mining in Cultural Heritage: Challenges
Upcoming SlideShare Loading in...5 × Text Mining in Cultural Heritage: Challenges 1. @maxkaiser Text Mining in Cultural Heritage: Challenges Max Kaiser Head of Research & Development Austrian National Library @maxkaiser Text & Data Mining in Europe The Hague, Nov. via Pocket
books  history  talk  text  mining 
december 2015 by kintopp
NERD: Named Entity Recognition and Disambiguation
NERD proposes a web framework which unifies numerous named entity extractors using the NERD ontology which provides a rich set of axioms aligning the taxonomies of these tools.
text  mining  tools  nlp 
december 2015 by kintopp
National Centre for Text Mining — Text Mining Tools and Text Mining Services
The National Centre for Text Mining (NaCTeM) is the first publicly-funded text mining centre in the world. We provide text mining services in response to the requirements of the UK academic community. NaCTeM is operated by the University of Manchester. via Pocket
resources  text  mining 
december 2015 by kintopp
About the Project - RTextTools: a machine learning library for text classification
The beta release was unveiled at the The 4th Annual Conference of the Comparative Policy Agendas Project on June 24, 2011 in Catania, Italy. The full release is available on the installation page. via Pocket
text  analysis  mining  tools  ml  deep 
november 2015 by kintopp
Text Mining #2: How scholars can support digital libraries - Europeana Research
Libraries, of course, support scholarship. But in the twenty-first century, scholars might occasionally be able to return the favor. via Pocket
license  open  access  data  text  analysis  mining 
november 2015 by kintopp - index.html
GATE is... If you need to solve a problem with text analysis or human language processing you're in the right place. via Pocket
linguistic  nlp  text  analysis  mining  tools 
november 2015 by kintopp
Welcome to DKPro
DKPro is a community of projects focussing on re-usable Natural Language Processing software. via Pocket
linguistic  nlp  resources  text  analysis  mining  tools  ml 
november 2015 by kintopp
The digital tools WAHSP and BILAND are able to perform advanced forms of text-mining in large data sets of different news media (newspapers, magazines and transcripts of radio recordings). via Pocket
newspapers  sentiment  text  mining  tools 
november 2015 by kintopp
- OpenMinTed
What is OpenMinTeD Text & Data Mining Infrastructure OpenMinTeD aspires to enable the creation of an infrastructure that fosters and facilitates the use of text and data mining technologies in the scientific publications world and beyond, by both application domain users and text-mining experts. via Pocket
datasets  europe  infrastructure  text  mining 
october 2015 by kintopp
Historical text reuse: what is it? |
What is text reuse? At its most basic level, text reuse is a form of text repetition or borrowing. Text reuse can take the form of an allusion, a paraphrase or even a verbatim quotation, and occurs when one author borrows or reuses text from an earlier or contemporary author. via Pocket
classics  recognition  text  mining 
october 2015 by kintopp
Saffron - Extracting the Valuable Threads of Expertise
The expert finding and community detection application of Saffron provides insights in a research community or organization by analyzing its main topics of investigation and the experts associated with these topics. via Pocket
infrastructure  text  mining  tools 
september 2015 by kintopp
Intro to Literary Text Mining | .txtLAB @ mcgill
It’s that time of year, so I’ve gone ahead and posted my new syllabus for Introduction to Literary Text Mining. It’s still a work in progress and probably always will be. via Pocket
literature  syllabus  text  mining 
september 2015 by kintopp
Introducing DREaM | Early Modern Conversions
The DREaM Database is a collaborative digital humanities project that Stéfan Sinclair, Matt Milner, and I have been developing over the past year. via Pocket
distant  text  analysis  mining 
july 2015 by kintopp
Seven ways humanists are using computers to understand text. | The Stone and the Shell
[This is an updated version of a blog post I wrote three years ago, which organized introductory resources for a workshop. via Pocket
methodology  text  analysis  mining 
june 2015 by kintopp
Reading with Machines | Early Modern Online Bibliography
A week or two ago, we had an interesting discussion here on EMOB about the uses and limits of computers as aids to literary scholarship. Below are some of my own summary thoughts on the subject, along with links to related work that I’ve found useful or thought-provoking. via Pocket
text  analysis  mining 
december 2014 by kintopp
Overview - Japanese Text Analysis - Guides at Penn Libraries
This is the "Japanese Text Analysis" guide.Alternate Page for Screenreader UsersSkip to Page Content Japanese Text Analysis A guide to tools, corpora, and other resources related to Japanese text analysis and natural language processing, with a focus on the digital humanities. via Pocket
japanese  resources  text  analysis  mining 
september 2014 by kintopp
Network Analysis, Text Mining, and Emergence in the September 1918 Little Review | Magazine Modernisms
This post is a shorter version of what will eventually become a longer piece about digital methods for the analysis and teaching of modernist magazines. via Pocket
networks  text  mining 
september 2014 by kintopp
Where to start with text mining. | The Stone and the Shell
This post is an outline of discussion topics I’m proposing for a workshop at NASSR2012 (a conference of Romanticists). I’m putting it on the blog since some of the links might be useful for a broader audience. via Pocket
howto  learn  text  analysis  mining 
september 2014 by kintopp
KDD Retro: Google Knowledge Vault and Topic Modeling — URX Blog
At the top, extraction of information is broken into two domains. The first, text extractors, answer the question what can we get from a web page? The second is Freebase priors: what is already known that can improve our ability to form facts? via Pocket
text  mining  topic  modeling 
september 2014 by kintopp
Getting Started with Topic Modeling and MALLET
This lesson requires you to use the command line. If you have no previous experience using the command line you may find it helpful to work through the Scholars' Lab Command Line Bootcamp tutorial. via Pocket
data  howto  learn  text  analysis  mining  topic  modeling 
august 2014 by kintopp
Mining of Massive Datasets
The book has now been published by Cambridge University Press. The publisher is offering a 20% discount to anyone who buys the hardcopy Here. By agreement with the publisher, you can still download it free from this page. via Pocket
books  dev  learn  text  mining 
august 2014 by kintopp

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