关键词: 自然语言处理, 文本特征提取, 气象数据空间分析, 文本自动生成

Abstract: The text content needs the high quality characteristic of precision, efficiency, logicalness and as well as natural language expression in order to generate text description automatically for weather forecast and service fields, however currently it lacks more mature technique ways to solve all problems. Based on the analysis of the content of “weather public report” documents, it proposes a framework and its’processing of text generation on weather falling area description by introducing of Geographic Information Science（GIS） and Natural Language Processing（NLP） science. Feather more, it focuses on the four key issues for further discussion, such as information extraction and conceptual model building from massive history documents, geospatial area partitioning, meteorological elements spatial-temporal reasoning, text organization and generation and post-processing. Meanwhile, it proposes the technique implementation in detail for these issues. Compared with the content between forecaster manuscript and computer text, the results show the general text generation method has a potential application prospect in given meteorology forecast and services field.

Key words: Natural Language Processing（NLP）, text feature extraction, meteorological data spatial analysis, text auto-
generation