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In recent times, there has been an astronomical surge in demand for data scientists with Harvard Business Review naming Data Scientist as “The Sexiest Job of the 21st Century”.

The workshop will aim to foster collaboration among Data Science academics and practitioners focussing on text data. We have reached a point in Data Science where there is an increasing demand to integrate information from text data into models. This workshop calls for recent advances made both in the area of theoretical Text Processing dealing with lower level algorithms as well applications in Text Mining. The workshop aims to foster collaboration between academic researchers and practitioners so that the two groups could be able to integrate new advances in approaches into real world innovations being worked on by the practitioners.

Papers are solicited from the following list of topics, however papers dealing with any aspect of Natural Language Processing, Text Processing and Text Mining are welcome.

  • Topic detection/Modelling
  • Sentiment detection
  • Language modelling
  • Social Media text processing
  • Information Extraction
  • Summarization
  • Knowledge based Predictive models
  • Knowledge Representation
  • Linked Data Development/Applications
  • Parsing, NER, POS tagging
  • Pragmatics Discourse Semantics
  • Lexicon Development
  • Natural Language Generation

Paper submission and reviewing for this workshop will be electronic via EasyChair. The papers should be written in English, following the Springer LNCS format, and be submitted in PDF on or before Sept. 30, 2016.

The following types of contributions are welcome. The recommended page length is given in brackets. There is no strict page limit but the length of a paper should be commensurate with its contribution.

  • Full research papers (8-12 pages);
  • Short research papers (4-6 pages);
  • System papers (4-6 pages).

Accepted papers will be posted on this website and published as a volume in the CEUR Workshop Proceedings series. In addition, selected papers will be invited to submit their extended version for a special issue in MDPI Information journal.

At least one author from each accepted paper must register for the workshop. Please see the ACML 2016 website for information about accommodation and registration.

The authors of accepted papers must fill the copyright form (download from here) and send it directly to Rivindu Perera (rperera@aut.ac.nz) or upload it to the EasyChair together with your final camera ready version of the paper as a zipped file.

Time Venue: S.1.04
2:00 PM - 2:10 PM Welcome and Introduction
2:10 PM - 2:40 PM Keynote: Text Processing opportunities and challenges in the next decade
- Parma Nand
2:40 PM - 3:00 PM Mining of relevant and informative posts from text forums
- Kseniya Buraya, Vladislav Grozin, Vladislav Trofimov, Pavel Vinogradov and Natalia Gusarova
3:00 PM - 3:20 PM Recommendation Model for Infrequent Items
- Pramod Kumar Singh and Nidhi Gupta
3:20 PM - 3:40 PM Person, Organization, or Character: Towards User Account Type Prediction in Microblogs
- Ivan Samborskii, Andrey Filchenkov, Georgiy Korneev and Aleksandr Farseev
3:40 PM - 4:00 PM Afternoon Refreshments
4:00 PM - 4:20 PM Left-Handed Representation in Top 100 Male Professional Tennis Players: Multi-Disciplinary Perspectives
- Boris Bačić and Ali Ghazala
4:20 PM - 4:40 PM Web usage Anomaly Detection through User Profiling with Naïve Bayes Classifier
- Gregg Victor Gabison, Elmer Maravillas and Bobby Gerardo
4:40 PM - 5:00 PM Topic Model Based Multi-Label Classification
- Divya Padmanabhan, Satyanath Bhat, Shirish Shevade and Y Narahari
5:00 PM - 5:40 PM Panel discussion
Parma Nand, Auckland University of Technology, New Zealand
Rivindu Perera, Auckland University of Technology, New Zealand
Yun Sing Koh, University of Auckland, New Zealand
Waseem Ahmad, Waiariki Institute of Technology, New Zealand
Krishna Raghuwaiya, The University of the South Pacific, Fiji
Muhammad Asif Naeem, Auckland University of Technology, New Zealand
Gisela Klette, Auckland University of Technology, New Zealand
Sarah Marshall, Auckland University of Technology, New Zealand
Paper Title & Authors
Welcome Slides Welcome to TMNZ-2016
Paper Mining of relevant and informative posts from text forums
- Kseniya Buraya, Vladislav Grozin, Vladislav Trofimov, Pavel Vinogradov and Natalia Gusarova
Paper Recommendation Model for Infrequent Items
- Pramod Kumar Singh and Nidhi Gupta
Paper Person, Organization, or Character: Towards User Account Type Prediction in Microblogs
- Ivan Samborskii, Andrey Filchenkov, Georgiy Korneev and Aleksandr Farseev
Paper Left-Handed Representation in Top 100 Male Professional Tennis Players: Multi-Disciplinary Perspectives
- Boris Bačić and Ali Ghazala
Paper Web usage Anomaly Detection through User Profiling with Naïve Bayes Classifier
- Gregg Victor Gabison, Elmer Maravillas and Bobby Gerardo
Paper Topic Model Based Multi-Label Classification
- Divya Padmanabhan, Satyanath Bhat, Shirish Shevade and Y Narahari

Important Dates

  • Submission: Oct. 10, 2016 (extended)
  • Notification: Oct. 30, 2016
  • Camera-ready: Nov. 10, 2016
  • Workshop: Nov. 16, 2016