| Title | Summarization of Multimodal Information |
| Author(s) |
Saif Ahmad, Paulo C F de Oliveira, Khurshid Ahmad
Department of Computing, University of Surrey, Guildford, Surrey, UK |
| Session | O29-EMSW |
| Abstract | Information Summarization is one of the key challenges for current and future information systems. In this paper, we will outline a system that comprises modules for summarizing texts and time series to study the link between the two. Summaries of texts are generated using a lexical analysis of cohesion in texts focusing on key sentences that provide cohesion: by implication, these are the sentences that comprise chief points of a given text. Time series summarization is accomplished using the so-called wavelet analysis to separate out the trend, cyclical fluctuations and autocorrelational effects and generating verbal signals to describe each phenomenon. Finally, we present a case study performed on the UK financial market with regards to multimodal information processing, namely textual and numerical summarization. |
| Keyword(s) | Summarization, time series analysis, summary evaluation, lexical cohesion, and wavelets |
| Language(s) | English |
| Full Paper | 502.pdf |