- Two main clusters of existing approaches:
a) many small case studies with in-depth analyses
(a lot of them in experimental settings like in classrooms)
b) some big formal (structural) computer-powered studies with little reference
to the content discussed.
- Exceptions: e.g. Project H's larger scale content analysis
(but a lot of researchers cooperating)
- Missing here:
middle to large scale thorough content-analyses
combined with computer-supported quantitative cross sections
Tools and methodology
- To achieve the above stated kind of research when you are not a big
consortium, you need better tools.
- Social scientists usually cannot use big dedicated text mining machines
with sophisticated computational linguistics know how built in.
- Current software for text analysis is lacking standards and
interoperability (Alexa/Zuell 1999:134), so it's hard to find the
right combination of tools for your project.
- Multilingual support:
Unicode is not omnipresent yet, i.e. in the case of dealing with 2-byte
code character sets (like in East Asian languages) you need again different
tools, and those available are not easy to use for the non-professional
=> Need for interdisciplinary cooperation:
- better tools for social scientists
- learning about general paradigms from maths or information science
- dialogue about how methodology can be improved
- cooperation for putting ideas into operation
this URL: http://www.irene-langner.de/docs/19991122/missing.html
Last modified: 1999-11-22