Combining Visual and Textual Features for Information Extraction from Online Flyers
Emilia Apostolova, Noriko Tomuro · 2014
Information in visually rich formats such as PDF and HTML is often conveyed by a combination of textual and visual features. In particular, genres such as marketing flyers and info-graphics often augment textual information by its color, size, positioning, etc. As a result, tradi-tional text-based approaches to informa-tion extraction (IE) could underperform. In this study, we present a supervised ma-chine learning approach to IE from on-line commercial real estate flyers. We evaluated the performance of SVM clas-sifiers on the task of identifying 12 types