Slicing and Dicing a Newspaper Corpus for Historical Ecology Research

TY - CHAP

T1 - Slicing and Dicing a Newspaper Corpus for Historical Ecology Research

AU - van Erp, Marieke

AU - de Does, Jesse

AU - Depuydt, Katrien

AU - Lenders, Rob

AU - van Goethem, Thomas

PY - 2018

Y1 - 2018

N2 - Historical newspapers are a novel source of information for historical ecologists to study the interactions between humans and animals through time and space. Newspaper archives are particularly interesting to analyse because of their breadth and depth. However, the size and the occasional noisiness of such archives also brings difficulties, as manual analysis is impossible. In this paper, we present experiments and results on automatic query expansion and categorisation for the perception of animal species between 1800 and 1940. For query expansion and to the manual annotation process, we used lexicons. For the categorisation we trained a Support Vector Machine model. Our results indicate that we can distinguish newspaper articles that are about animal species from those that are not with an F 1 of 0.92 and the subcategorisation of the different types of newspapers on animals up to 0.84 F 1 .

AB - Historical newspapers are a novel source of information for historical ecologists to study the interactions between humans and animals through time and space. Newspaper archives are particularly interesting to analyse because of their breadth and depth. However, the size and the occasional noisiness of such archives also brings difficulties, as manual analysis is impossible. In this paper, we present experiments and results on automatic query expansion and categorisation for the perception of animal species between 1800 and 1940. For query expansion and to the manual annotation process, we used lexicons. For the categorisation we trained a Support Vector Machine model. Our results indicate that we can distinguish newspaper articles that are about animal species from those that are not with an F 1 of 0.92 and the subcategorisation of the different types of newspapers on animals up to 0.84 F 1 .

KW - Natural language processing

KW - Digital libraries

KW - Historical ecology

KW - digital humanities

KW - lexicology

M3 - Contribution to conference proceedings

SP - 470

EP - 484

BT - Knowledge Engineering and Knowledge Management

PB - Springer Verlag GmbH

ER -