Text mining

Clustering (43)
Data (486)
Data analysis (6)
Data gathering (7)
Data mining (18)
Database (127)
Network analysis (12)
Qualitative data (8)
Quantitative data (13)
Text mining (31)

Synopsis: Data: Text mining:

This paper describes, through a case study on solid oxide fuel cells, the value of quick text mining profiles of emerging technologies.

Text mining; Knowledge discovery in databases 1. Introduction How long does it take to provide a particular Future-oriented technology analysis (FTA?

This paper makes the case for quick text mining profiles of emerging technologies. 0040-1625/$-see front matter D 2005 Elsevier Inc. All rights reserved. doi:

With another firm, we have been exploring text mining tool applications. We mutually recognized that certain preliminary analyses could be done in 3 minutes

Exploiting New technologies for Competitive advantage, Wiley, New york, 2005.2 T. Teichert, M.-A. Mittermayer, Text mining for technology monitoring, IEEE IEMC 2002 (2002) 596 601.3 R

M. W. Berry (Ed.),Survey of Text mining: Clustering, Classification, and Retrieval, Springer, New york, 2004, pp. 185 224.11 See http://www. kdnuggets. com/.12 C. Chen, Mapping Scientific Frontiers:

Developments in text mining, visualisation, and related techniques will allow for enhanced use of new IT in scanning for scientific and technological developments and their implications.

http://www. tandfonline. com/loi/ctas20 Text mining of information resources to inform Forecasting Innovation Pathways Ying Guo a, Tingting Ma a, Alan L. Porter b & Lu

Ying Guo, Tingting Ma, Alan L. Porter & Lu Huang (2012) Text mining of information resources to inform Forecasting Innovation Pathways, Technology analysis & Strategic management, 24:8, 843-861, DOI:

8 september 2012,843 861 Text mining of information resources to inform Forecasting Innovation Pathways Ying Guoa Tingting Maa, Alan L. Porterb and Lu Huanga*aschool of Management and Economics, Beijing Institute of technology, Beijing, China;

These include innovation system modelling, text mining of Science, Technology & Innovation(‘ST&I')information resources, trend analyses, actor analyses,

text mining of these records further enriches the empirical base. Tech Mining (Porter and Cunningham 2005) is our shorthand for such activities.‘

Here, we go further to apply text mining tools (see www. thevantagepoint. com) to such compilations of research article and patent abstracts.

Downloaded by University of Bucharest at 05:05 03 december 2014 Text mining of information resources 845 2. 2. Analysing NESTS NESTS comprise a loose category (Foxon et al. 2005;

Downloaded by University of Bucharest at 05:05 03 december 2014 Text mining of information resources 847 Step J,

eliciting information on stakeholders and potential applications from text mining (Steps D and E; and consolidating empirical

In the long term, we believe that general Downloaded by University of Bucharest at 05:05 03 december 2014 Text mining of information resources 849 Figure 2. TDS for DSSCS in the USA. economic forces will favour innovation

and text mining analyses of the database search results. Tech Mining the various publication and patent abstract records can track the emergence of key terms over time to spotlight new (appearing only in the most recent time period) and hot subtechnoologie (i e. those appearing

Downloaded by University of Bucharest at 05:05 03 december 2014 Text mining of information resources 851 Figure 4. DSSC science overlay map.

Downloaded by University of Bucharest at 05:05 03 december 2014 Text mining of information resources 853 Once such highly active players have been identified,

Downloaded by University of Bucharest at 05:05 03 december 2014 Text mining of information resources 855 sulphide Figure 6. Ingredients for the multipath exploration.

Figure 7 raises the desirability of life-cycle Downloaded by University of Bucharest at 05:05 03 december 2014 Text mining of information resources 857 analyses to consider likely life span, maintainability, material transformation

We are investigating DSSC technical component developments through patent analyses that combine text mining, semantic/syntactic analyses,

Downloaded by University of Bucharest at 05:05 03 december 2014 Text mining of information resources 859 Guo, Y.,L. Huang,

or#2 or#3 or#4 Combined search terms Downloaded by University of Bucharest at 05:05 03 december 2014 Text mining of information resources 861 Appendix 2. Different generations of solar cells Material

Information from the Delphi method and scenario is converged using text mining to position scientific and technological areas in a big picture.

and base or general-purpose technologies tend to have little chance of being mentioned. 3. 2 Procedure of combination Text mining is employed to combine information from two sources, i e.

Scores are assigned to all the keywords by the term frequency-inverted document frequency (TF-IDF) method shown below that is generally used in text mining;

He works on data processing and text mining, and adopts these mechanisms to conduct research into science and technology development trends.

He focuses on text mining for technology intelligence, forecasting and assessment. Michael Rader, Dr. Phil, Sociologist: studied sociology, psychology, political science and economics.

and international cooperation) S&t monitoring using text mining techniques applied to relevant international databases Delphi, involving around 1,

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