• Effect of imbalanced data on document classification algorithms

      Paul, Amrita (Auckland University of Technology, 2014)
      Text classification is the task of assigning predefined categories to free text documents. Due to the ever-increasing amount of electronic documents, digital libraries and web resources, document classification is critical ...
    • Information extraction from free text comments in questionnaires

      Ramachandran, Kartik (Auckland University of Technology, 2018)
      The last 15 years have seen a tremendous explosion in the amount of information available, encoded both in structured forms such as databases and XML files as well as free, naturally occurring forms such as HTML pages and ...
    • Information Extraction from TV Series Scripts for Uptake Prediction

      Wang, Junshu (Auckland University of Technology, 2017)
      The script of a movie, or of an episode of a television series, describes the setting, the storyline, and the scene changes. It also details the movement, actions, non-oral expression, and dialogues of the characters. The ...
    • Information Mining from New Zealand published annual reports relating Māori affairs

      Islam, Md Rashedul (Auckland University of Technology, 2018)
      This thesis aims to design and implement an information system which will mine information from online annual reports across organizations in New Zealand which have made efforts towards enhancing Matauranga Māori in line ...
    • Meteorological Drought Projections for New Zealand Using CMIP5 Data

      Dhanapal Sagadevan, Komala (Auckland University of Technology, 2017)
      Droughts are one of the most damaging natural hazards, and anthropogenic climate change will continue to impact drought sensitive sectors such as primary production, industrial and consumptive water users. Drought monitoring ...
    • Named Entity Recognition With Deep Learning

      Yu, Haobin (Auckland University of Technology, 2019)
      Named entity recognition is a significant subtask of natural language processing. Traditional methods require large numbers of feature engineering and handcrafted additional dictionaries to achieve high performance. ...
    • A predictive model to detect online cyberbullying

      Kasture, Abhijeet Sudhir (Auckland University of Technology, 2015)
      Cyberbullying is prevalent in most countries across the globe. The aim of this research was to develop a predictive model to identify the occurrence of cyberbullying tweets on Twitter. The paradigm shift in the Internet ...