What Is Text and Data Mining?

Text mining is an interdisciplinary field combining techniques from linguistics, computer science and statistics to build tools that can efficiently retrieve and extract information from digital text (see PLOS blog: Announcing the PLOS Text Mining Collection, April 17, 2013). For instance, it uses powerful computers to find links between drugs and side effects, or genes and diseases, that are hidden within the vast scientific literature. These are discoveries that a person scouring trough papers one by one may never notice. Interest in text and data mining scholarly content is on the increase. For those who want to learn more about text and data mining, a webinar recording of the CrossRef Text and Data Mining (from June 3, 2014) may be of interest.

Calls for Papers: Text as Data Conference

New Directions in Analyzing Text as Data Conference at the Kellogg School of Management, Northwestern University

Northwestern University invites you to attend the fifth annual research conference on “New Directions in Analyzing Text as Data” that will be held at Northwestern’s Kellogg School of Management on October 10-11, 2014. This two-day invitation-only conference draws together scholars from many different universities and disciplines to discuss developments in text as data research.

The main purpose of this workshop is to bring together researchers from political science, computer science and linguistics to investigate new approaches to utilizing text in political science research. Text has always been a valuable resource for political science research. However, recent developments in digital archiving as well as breakthroughs in automatic language-processing methodologies from the fields of information retrieval, natural language processing, and machine learning are creating unprecedented opportunities for searching, categorizing, and extracting political information from text.

You can learn more about this conference at: http://projects.iq.harvard.edu/ptr/uncements/new-directions-analyzing-text-data

Text and Data Mining

Mining for Insights

Siân Harris investigates the role of text and data mining in research – and what the publishing industry is doing, and could do, to help. 

Text and data mining is a hot topic. It has been extensively discussed in copyright and open-access discussions and has been mentioned in many recent policies in these areas. But is there a fundamental disconnect between what researchers want to do and what information providers think they need?

A full article is available at: http://www.researchinformation.info/features/feature.php?feature_id=429