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Shield's Efforts To Improve Lexicon Based Detection

Shield always focuses on the three Cu2019s i.e. content, context, and characteristics. They employ a variety of text analysis tools including tokenization, stemming, fuzzy matching, AI algorithms, and expert-driven rules. The use of machine learning and advanced Natural Language Processing (NLP) helps determine specific comments with a high level of precision. To read complete detail on how lexicon triggers kill surveillance efficiency, check out this infographic and visit our website at: https://bit.ly/3yOG7Ee

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Shield's Efforts To Improve Lexicon Based Detection

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  1. How Common Lexicon Triggers Kill Your Surveillance Efficiency The lexicon-based detection system is used to detect risks in electronic communication. The lexicon- based system is developed around alerts, These alerts are triggered whenever a certain keyword is used in conversation. Massive numbers of false positives This high number of alerts that are being generated this way is a massive burden for compliance surveillance teams, especially with the current market “norm” of 95-99.9% false-positive rate. Spending on compliance is ramping up financial institutions are spending more on compliance than ever. 50% of firms that responded said they spent between 6-10% of revenue on costs related to compliance. FIs must at least make sure that they are utilizing the right tools for the job, and not making their surveillance efforts more challenging than they need to be. Read more about how shield is focusing on Hybrid surveillance system to make Surveillance Effecient Visit: https://www.shieldfc.com

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