Research on keywords extraction technology in intelligent evaluation scheme for airport emergency plan

Airport emergency plan is difficult for airport security professionals to write because of its professionalism and high standardization. At the same time, the evaluation of airport emergency plan also consumes a lot of time and energy for airport security professionals. This paper proposes an intelligent evaluation method for airport emergency plans, in detail, first, it extracts the important indicators related to chapters of emergency plan from existing classic emergency plans, then it hits these indicators with the plans written by professionals, formulates hit rules, and at last it obtains the scores of evaluated plans in each indicator. According to evaluation results, the emergency plan is gradually improved. In process of emergency plan evaluation, keywords extraction technology is essential, because keywords can more intensively express the indicators of plans, it also can improve the accuracy of hit efficiency, and it can speed up the evaluation process. Therefore, this paper studies keywords extraction technology of airport emergency plan based on machine learning to help emergency plan writers save time and energy. The experimental results show that TF-IDF extraction technology has obvious advantages over other technologies in intelligent evaluation of emergency plans.