IWoTM 2019 : 2019 International Workshop on Text Mining (IWoTM 2019)

  in Conferences   Posted on March 14, 2019

Conference Information

Submission Deadline Tuesday 30 Apr 2019
Conference & Submission Link http://www.iwotm.org/
Conference Dates Aug 23, 2019 - Aug 25, 2019
Conference Address Vancouver, Canada
Proceedings indexed by
Conference Organizers : ( Deadline extended ? Click here to edit )

Conference Call for Papers

● 2019 International Workshop on Text Mining (IWoTM 2019)– Ei Compendex & Scopus—Call for papers 

|August 23-25, 2019|Vancouver, Canada|Website: http://www.iwotm.org/

●IWoTM 2019 welcomes researchers, engineers, scientists and industry professionals to an open forum where advances in the field of Text Mining can be shared and examined. The conference is an ideal platform for keeping up with advances and changes to a consistently morphing field.

●Publication and Indexing

All accepted papers will be published in the digital conference proceedings which will send to be indexed by all major citation databases such as Ei Compendex, Scopus, Google Scholar, Cambridge Scientific Abstracts (CSA), Inspec, SCImago Journal & Country Rank (SJR), EBSCO, CrossRef, Thomson Reuters (WoS), etc.

A selection of papers will be recommended to be published in journals.

●Program Preview/ Program at a glance

August 23, 2019: Registration + Icebreaker Reception

August 24, 2019: Opening Ceremony+ KN Speech+ Technical Sessions 

August 25, 2019: Technical Sessions+ Half day tour/Lab tours

●Paper Submission

1. PDF version submit via CMT: https://cmt3.research.microsoft.com/IWOTM2019

2. Submit Via email directly to: iwotm@hksra.org

●CONTACT US

Ms.Tiya T. Deng

Email: iwotm@hksra.org

Website: http://www.iwotm.org/

Call for papers(http://www.iwotm.org/cfp.html):

Auto-categorization & auto-metadata generation

Deep learning & machine learning

Document processing and visualization techniques

Entity/noun phrase extraction

Graph databases

Sentiment and social analysis

Text analytics techniques of all kinds

Text mining and knowledge management

User aspects and relations to official statistics

Web mining

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