TMNZ 2016 - First New Zealand Text Mining Workshop

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.
Topics of Interest
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