[Corpora-List] Call for chapters -- Working with text: Tools, techniques and approaches for text mining

[Emma Tonkin]

Call for chapters
Working with text: Tools, techniques and approaches for text mining

Text mining tools and technologies have a long history in the repository 
world, where they have been applied successfully for a variety of 
purposes. These vary from pragmatic aims such as enabling document 
search and browse facilities, linking related documents, identifying 
copies or facilitating the deposit process, to support tools for 
academic research. The latter category includes supporting research on 
the basis of a large body of documents, facilitating access to and reuse 
of existing work, and connecting the formal academic world with areas 
such as the traditional and social media. Research areas as diverse as 
biology, chemistry, sociology and criminology have seen effective use 
made of text mining technologies.

However, the uptake and hence the impact of these tools has been uneven. 
Several obstacles to development and deployment are frequently cited, 
including the maturity, complexity, and in some instances cost of 
software packages, as well as scarcity of relevant technical skills. 
Text mining methods and tools can be fragile and complex, requiring 
significant set-up time and effort. Projects making use of text mining 
may also suffer from legal obstacles, such as copyright and intellectual 
property considerations. The benefit to be gained from deployment of 
text-mining tools in areas such as institutional repositories or as a 
research tool in its own right may be difficult to predict without a 
costly pilot project.

Authors are invited to submit original, unpublished chapters describing 
research in relevant areas and/or reviewing relevant literature and trends.

Topics of interest include, but are not limited to:

Discipline-specific research involving text-mining: bioinformatics, 
chemistry, the social sciences, etc.
Techniques in text mining: sentiment analysis/subjectivity analysis, 
opinion mining, affect analysis, metaphor analysis, etc.
Legal and ethical aspects of text mining/analysis.
Current developments in text mining.
Metadata extraction from document text, including formal and informal 
metadata: ontology extraction, document indexing, document 
classification, and evaluation of metadata quality.
Text mining for document categorization or summarization.
Text mining over the social web: community detection, timelines, etc.
Evaluation of text mining tools, open-source or commercial: case studies 
and findings.
Procurement and evaluation of text mining tools.


Submission

Chapters of 4,500-9,000 words in length should be prepared in either 
Word or LaTeX. As chapters will be reformatted during the publication 
process, authors are advised to concentrate on content rather than 
formatting. Please include any images/graphics as separate files; 
images/graphics should be 300dpi or better and designed to be readable 
when printed in greyscale.

Files should be submitted by email to Emma Tonkin 
<e.tonkin at ukoln.ac.uk>. All submitted chapters will be reviewed on a 
double-blind review basis.

Important Dates/Deadlines

24-Dec-2012         Title/Abstract submission for preliminary approval
4 -Jan-2013        Author notification
11-Feb-2013        Manuscript submission deadline
24-Feb-2013        Author notification

Publisher

This book is scheduled to be published in 2013 by Chandos, a leading 
international publisher with specialisms in Library Management, 
Information Management, Social Media and the Web; it will be distributed 
in the United States via the American Library Association. It will be 
available both as a printed publication and as a freely available Open 
Access resource, increasing the visibility of the final work. For 
additional information regarding the publisher, please visit 
http://www.woodheadpublishing.com/en/ChandosInfo.aspx.

_______________________________________________
UNSUBSCRIBE from this page: http://mailman.uib.no/options/corpora
Corpora mailing list
Corpora at uib.no
http://mailman.uib.no/listinfo/corpora