Register for the recording:
This webinar has now passed. You may still register for the recording of the webinar by visiting the GoToWebinar site.
Slides:
Petr and Phil have kindly agreed to make their slides available. You may download them from here or view them below. Please use the correct attribution if you wish to refer to them.
“This webinar provided timely background for my work with library clients.” – Robert Boissy, Account Development Manager, Springer, and NASIG Past President
“I find the webinars that UKSG organizes so useful–thanks for offering them, and for continuing to promote them to the Liblicense email list (which is usually where I learn of them).” – Matthew Loy, Ithaka-Jstor
“Useful introduction to a topic that is beginning to be discussed on my campus. I’ll share my notes with colleagues.” – Anon
“Text mining is a very new concept for me but the speakers deconstructed it very clearly and made it easy to understand.” – Anon
94% of survey respondents would recommend this webinar.
This is a fantastic opportunity to listen to an expert speaker, with the added benefit of no travelling required! You will also receive a link to a recording of the webinar so that you can listen again at a time convenient to you.
This is a free webinar.
OVERVIEW:
This webinar will explain what text-mining is and why it is important to text-mine research papers. We will consider real-world use-cases and applications and discuss barriers to wider adoption of text-mining.
We will also provide practical advice on how to start text-mining research papers, such as where to obtain data, how to access relevant APIs and highlight some of the tools that are available.
Date: Tuesday 22 September 2015
Time: 1400 BST
Duration: 45 minutes including Q&A (up to 60 minutes maximum if there is sufficient demand for an extended Q&A)
SPEAKERS:
Petr Knoth Senior Data Scientist |
|
Phil Gooch Senior Data Scientist |
LEARNING OUTCOMES:
By the end of the webinar, participants should have an understanding of what text-mining is and how it can be used to extract knowledge from research papers.
Subject level and previous knowledge required:
Introductory and non-intensive, no previous knowledge or experience required.
REGISTRATION:
This is a free webinar and is open to members and non-members of UKSG alike. It will be recorded and the speakers will use a web cam.
This webinar has now passed. You may still register for the recording of the webinar by visiting the GoToWebinar site.
To help you prepare for UKSG webinars, you may like to read our Notes for Participants.
Unable to attend? Register anyway and we will send you a link to a recording of the webinar after the event. If you have already registered and are subsequently unable to attend, please do not cancel your registration – only active registrations will receive the recording in a follow-up e-mail.
Follow the webinar on Twitter: #UKSGwebinar
QUERIES:
Please send your questions to Maria Campbell.
DISCLAIMER:
UKSG webinars are for educational and information purposes only. The views and opinions expressed in UKSG webinars are the personal views and opinions of the speaker(s) and do not necessarily represent or reflect the views or opinions of UKSG, its employees or agents.
Content, information or links are provided for information purposes only and do not constitute or imply an endorsement, sponsorship, authorisation, affiliation or recommendation by UKSG or any other party. Any reliance on the webinars or any content, information or links is therefore at your own risk.