The Role of Natural Language Processing in Detecting Insurance Fraud
The Role of Natural Language Processing in Detecting Insurance Fraud
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自然语言处理在检测保险欺诈中的作用
DOI：
10.1109/c2i659362.2023.10430658
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发表时间：
2023
期刊：
影响因子：
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通讯作者：
J.Logeshwaran
中科院分区：
文献类型：
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作者：
Venkata Ramana Saddi;Technology Lead;Swetha Boddu;Bhagawan Gnanapa;J.Logeshwaran
保险欺诈是一种非法爱好，每年给保险企业造成数十亿美元的损失，如果没有适当的设备，可能很难被发现。一种可以帮助发现欺诈的技术是自然语言处理(NLP)。NLP是一种人工智能(AI)的形状，用于研究书面索赔，并定位可能为保险欺诈提供建议的样式或迹象。NLP使用机器获取的知识和算法的混合来解释书面文本，并找到可能与欺诈性索赔有关的积极关键字或短语。这些数据可以创建法规和版本，以定位索赔中的可疑行为。NLP可以为保险公司提供对索赔评估方式的洞察，这是使用手动策略无法实现的。借助NLP的功能，保险公司可以自动执行统计分析程序，以比以前更快、更准确地检测保险欺诈。它可以帮助快速、毫无困难地识别能力欺诈案件，并节省与手动审查索赔相关的人工成本的时间和金钱。在保险欺诈检测中使用NLP还可以实现合规性，因为它为保险公司提供了对其企业程序、客户行为和数据完整性的更高洞察力。NLP还可以帮助提供索赔记录的上下文，并且有了额外的来源，保险公司还可以美化检测保险欺诈的技术。
Coverage fraud is an illegal hobby that costs the coverage enterprise billions of bucks yearly and can be difficult to detect without the proper equipment. One technology that could assist in detecting fraud is natural language processing (NLP). NLP is a shape of synthetic intelligence (AI) used to research written claims and locate styles or signs that might advise coverage fraud. NLP uses a mixture of machine-gaining knowledge and algorithms to interpret written text and locate positive keywords or phrases that may be associated with fraudulent claims. This data can create regulations and versions to locate suspicious conduct inside the claims. NLP can provide insurers insights into the claims evaluation manner that are impossible using manual strategies. With the power of NLP, insurers can automate the statistics analysis procedure to detect coverage fraud more quickly and correctly than earlier. It can assist in identifying ability fraud cases fast, without difficulty, and as it should be, and save time and money on labor costs related to manually reviewing claims. Using NLP in insurance fraud detection also enables compliance because it offers insurers higher insight into their enterprise procedures, client conduct, and data integrity.NLP can also help offer context to claims records, and with extra sources, insurers can, in addition, beautify the technique of detecting coverage fraud.