{'fraction_non_alphanumeric': 0.012448132780082987, 'fraction_numerical': 0.0, 'mean_word_length': 5.609589041095891, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Research on Natural Language Processing Problems Based on LSTM Algorithm

In the process of the development of modern society, the network text analysis system is more and more important, and the research in the field of natural language processing has been comprehensively developed. In this research process, the natural language processing system mainly uses deep learning technology to realize deep learning technology, mainly through different neural networks to complete model construction, based on language analysis, using word segmentation and sentence classification methods. The long sentences are processed to ensure that the computer can better understand the text semantics of the system. Based on the above background, this paper designs a natural language analysis system to judge the word order and semantics of language characters conduct deep mining of language features based on neural networks. And simultaneously classify data mining results.