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Michelle L.F. Cheong

  1. Identification of Demand through Statistical Distribution Modeling for Improved Demand Forecasting.

    Tue, 10/04/2011 - 15:01 — SomNambul
    Authors: Murphy Choy, Michelle L.F. Cheong
    Subjects: Applications
    Abstract

    Demand functions for goods are generally cyclical in nature with
    characteristics such as trend or stochasticity. Most existing demand
    forecasting techniques in literature are designed to manage and forecast this
    type of demand functions. However, if the demand function is lumpy in nature,
    then the general demand forecasting techniques may fail given the unusual
    characteristics of the function.

  2. A sentiment analysis of Singapore Presidential Election 2011 using Twitter data with census correction.

    Tue, 08/30/2011 - 15:01 — SomNambul
    Authors: Murphy Choy, Michelle L.F. Cheong, Ma Nang Laik, Koo Ping Shung
    Subjects: Applications
    Abstract

    Sentiment analysis is a new area in text analytics where it focuses on the
    analysis and understanding of the emotions from the text patterns. This new
    form of analysis has been widely adopted in customer relation management
    especially in the context of complaint management. With increasing level of
    interest in this technology, more and more companies are adopting it and using
    it to champion their marketing efforts. However, sentiment analysis using
    twitter has remained extremely difficult to manage due to the sampling bias.

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