Christian Mauceri (IBM France)
Interpretive Latent Semantic Analysis
Abstract : In this paper we propose to address a recurrent issue of LSA: the difficulty to interpret factors. We use an Interpretive Semantics approach to rethink LSA and propose a new framework for textual semantic analysis taking into account the necessary tradeoffs between human workload and efficiency.