Mining of Autism Intervention Methods based on PyLtp Package and TextRank Graph Algorithm

This Scrapy framework has been used to extract autistic posts from Baidu Tieba as experimental data, using the API of the application program interface provided by the language technology platform (LTP) provided by Harbin Institute of Technology, to perform Chinese Word Segmentation, part-of-speech tagging, named entity recognition, dependency parsing, event triplet construction and relation extraction on experimental data. The TextRank graph algorithm is used to extract the keywords, and the key words, high frequency words and event network of the corpus are visualized in the form of graph. The results show that “Tomatis Training” is an effective way to improve hearing and attention in children with autism.