{'fraction_non_alphanumeric': 0.012628255722178374, 'fraction_numerical': 0.0015785319652722968, 'mean_word_length': 6.163841807909605, '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}}
Realization of Enterprise Intelligent Customer Service under the Background of Informatization

With the continuous integration of informationization and industrialization, the resource allocation of enterprises is continuously optimized, and the efficiency of production and operation is effectively improved. For the traditional customer service in the context of the two, there is an urgent need for improvement and upgrading. Traditional customer service has accumulated a large amount of business data in long-term services, including problems encountered by users in using products or business systems and corresponding solutions. These data are often put on hold and cannot be effectively utilized. ElasticSearch unstructured database engine's Chinese word segmentation retrieval capability, using text literacy algorithm BM25 to realize enterprise intelligent customer service, providing online intelligent answers to common problems for different business systems of enterprises, alleviating the operation and maintenance pressure of business personnel and improving productivity. It has reduced the resources invested by the enterprise in the business personnel, and has provided a very good help for the enterprise information transformation and upgrading.