TY - GEN
T1 - BioMAISx
T2 - 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024
AU - Chiril, Patricia
AU - Spreadbury, Trevor
AU - Rock, Joeva Sean
AU - Dowd-Uribe, Brian
AU - Uminsky, David
N1 - Publisher Copyright:
© 2024 Owner/Author.
PY - 2024/10/21
Y1 - 2024/10/21
N2 - News articles constitute a valuable resource for opinion mining, as they contain important perspectives related to the subject matter they cover. In this paper, we explore how aspect-based sentiment analysis might help in understanding the public discourse surrounding agricultural biotechnologies in Africa. We introduce BioMAISx, the first English language dataset composed of direct quotes pertaining to agricultural biotechnologies extracted from a curated list of Africa-based news sources. We have identified and labelled entities related to key aspects of agricultural biotechnologies, providing valuable insights into public discourse. This dataset can aid in identifying challenges, improving public discourse, and monitoring the perception of agricultural biotechnologies, thus contributing to informed decision-making.
AB - News articles constitute a valuable resource for opinion mining, as they contain important perspectives related to the subject matter they cover. In this paper, we explore how aspect-based sentiment analysis might help in understanding the public discourse surrounding agricultural biotechnologies in Africa. We introduce BioMAISx, the first English language dataset composed of direct quotes pertaining to agricultural biotechnologies extracted from a curated list of Africa-based news sources. We have identified and labelled entities related to key aspects of agricultural biotechnologies, providing valuable insights into public discourse. This dataset can aid in identifying challenges, improving public discourse, and monitoring the perception of agricultural biotechnologies, thus contributing to informed decision-making.
KW - Africa
KW - aspect-based sentiment analysis
KW - corpus
KW - genetically modified crops
KW - media analysis
KW - new breeding technologies
UR - https://www.scopus.com/pages/publications/85210012274
U2 - 10.1145/3627673.3679152
DO - 10.1145/3627673.3679152
M3 - Conference contribution
AN - SCOPUS:85210012274
T3 - International Conference on Information and Knowledge Management, Proceedings
SP - 5338
EP - 5342
BT - CIKM 2024 - Proceedings of the 33rd ACM International Conference on Information and Knowledge Management
PB - Association for Computing Machinery
Y2 - 21 October 2024 through 25 October 2024
ER -