Automated Quickly Extracting Special Chemical Words for Food Security Problem

摘要

Automated extracting Special Chemical Words (SCWs), is a keyprocedure of determining the food security problem This paper proposes an approach combining statistical and our rule-based method, to automatically quickly extract the Special Chemical Words (SCWs) crawled from the internet. The method includes Chinese naming rule, pairwise rule, word segmentation, and statistics for Frequency of Likely-Token Comparison (FOLTC). The performance of the approach is evaluated by the real data set crawled from 5 the food-concerned websites. The accuracy is 89%.