| Sumario: | There are two important strategies in computer-assisted reading and analysis of text (CARAT). The first relates to the classification process, and the second pertains to the categorisation process. These two often-interrelated operations have been regularly recognised as essential components of text analysis. However, the two operations are highly time-consuming. A possible solution to this problem calls upon more inductive or bottom-up strategies that are numerical and statistical in nature. In our own research, we have been exploring a few of these techniques and their combination. We now know, through our own past research and others' work, that the classification methods allow a good empirical thematic exploration of a corpus. More specifically, in this paper we shall concentrate on the problem of assisting the automatic categorisation of small segments of a philosophical text into a set of thematic categories.
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