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Semantic Intelligence: Application to Survey Data

Semantic Intelligence: Application to Survey Data. ITEC810 - Information Technology Project Supervisor: Gary Lau Gianmario Zullo (40291502) 13 th June 2012. Contents. 1.0 Problem Specification 2.0 Related work 3.0 Our Approach 4.0 Evaluation & Recommendation

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Semantic Intelligence: Application to Survey Data

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  1. Semantic Intelligence: Application to Survey Data ITEC810 - Information Technology Project Supervisor: Gary Lau Gianmario Zullo (40291502) 13th June 2012

  2. Contents 1.0 Problem Specification 2.0 Related work 3.0 Our Approach 4.0 Evaluation & Recommendation 5.0 Survey Findings

  3. 01 Overview Fierce competition Universities compete globally for student enrolments! 16 Universities in Australia alone! Government Response Created the Advancing Quality in Higher Education (AQHE) initiative. Aimed at measuring a university's performance via a number of assessments and surveys. Source: The Times Higher Education Review

  4. 01 Overview Quantitative Vs Qualitative The fact I didn’t have to turn up to class ;-)

  5. 01 Overview Language is complex! Ambiguity- The word ‘Unlockable’ can mean ‘capable of being unlocked’ or ‘impossible to lock’. (Pollatsek A, 2010) - The fisherman went to the bank. (Lexical) - Principal: Leader of a school vsPrinciple: Standards or code. (Homonyms) • Irony What were the best aspects of the degree? • Answer: Lecturer A (name with held) • What aspects of the degree were most in need of improvement? • Answer: Lecturer A (name with held)

  6. 02 Related Work

  7. 03 Our Approach Part 2 - Survey Analysis • Part 1 - Software Evaluation

  8. 03 Our Approach

  9. Products SPSS Text Analytics Exalytics • Market is rapidly changing. Consolidation of products and vendors occurring. • 2012 - Oracle => Vitrue Inc. & Collective Intellect. • 2012 - HP (Fusion) => Automony • 2009 - IBM => SPSS Inc. • Larger players muscling in and have aggressive roadmaps over the next 6-12 • months. (I.e Oracle).

  10. Products Shortlisted

  11. 04 Evaluation Results

  12. 04 Recommendation • “Capitalise & consolidate on current investments already in place across various departments within the university.” • Tactical – Short Term • For General Population • Consolidating existing licences for Leximancer under one enterprise wide license ($12,000) for all staff and students across the board. • MQ Analytical Dept • Retaining and expanding academic licensing with SPSS text Analytics’ for use by MQ Analytical department and faculty staff, as well as postgraduate coursework and research students.  • Strategic – Long term • Introduce Contestability. Wait 18 months for market to mature. Release RFP with bigger players (oracle, IBM, SAS).

  13. 05 Survey Insights Quick Insights (Respondents)

  14. Sentiment Categories here mean: Occur seldom and unique to tag Categories here mean: Occur often and unique to tag Categories here mean: Occur seldom, not unique to tag Categories here mean: Occur often, not unique to tag

  15. International & Domestic

  16. Over 3 year period

  17. Questions?

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