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1 Semantic Intelligence: Application to Survey Data.

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Presentation on theme: "1 Semantic Intelligence: Application to Survey Data."— Presentation transcript:

1 1 Semantic Intelligence: Application to Survey Data

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

3 01 Overview 3 Source: The Times Higher Education Review 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.

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

5 01 Overview 5 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) 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 vs Principle: Standards or code. (Homonyms)

6 02 Related Work 6

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

8 03 Our Approach 8 High Level Criteria (Section)Section Weight % 1.0 Functionality 30% 2.0 Usability 20% 3.0 Ease of Learning 10% 4.0 Accuracy 5% 5.0 Pricing 20% 6.0 Reporting 10% 7.0 Support 5% Total:100%

9 Products 9 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). Exalytics SPSS Text Analytics

10 Products Shortlisted 10 ProductSupplierComments Cogito Expert SystemsServer licence DiscoverTextTextifter Professional Edition - $99.00 user/month (Pay as you go) GATEUniversity of Sheffield Open Sourced Leximancer Academic Edition - Lexiportal SPSS Text AnalyticsIBM IBM SPSS Text Analytics, part of SPSS suite of products.

11 04 Evaluation Results 11 #Key Criteria* Gate VOCCogitoSPSS Text Analytics Leximancer Discover Text 1.0 Functionality 2428252227 2.0 Usability 1018 1914 3.0 Ease of Learning 3810 7 4.0 Accuracy 0010115 5.0 Pricing 138510 6.0 Reporting 35544 7.0 Support 33544 Total 5670788071

12 12 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). 04 Recommendation “Capitalise & consolidate on current investments already in place across various departments within the university.”

13 05 Survey Insights 13 Responses by Top 3 Course % 0801 Accounting24% 0803 Business and Management11% 0811 Banking, Finance and Related Fields9% 200920102011 Total (3 years) Attendance Type Full time2577323939289744 Part Time983122411313338 Level of Degree Completed Master of Philosophy20181553 Advanced diploma or diploma12101234 Bachelor degree (honours)145149 443 Bachelor degree (not honours or graduate entry)1726227227786776 Graduate certificate170253158581 Master degree by coursework1164139015934147 PhD99110109318 Postgraduate diploma214246242702 Other1015328 Attendance Mode External (distance)3324164021150 Internal (on-campus)29493740433611025 Mixed mode (internal and external)279307321907 Australian citizen or permanent resident NO -1060150515884153 YES - Aust. Citizen/ Perm. Resident2500295834718929 Quick Insights (Respondents)

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

15 International & Domestic

16 Over 3 year period

17 Questions? 17

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