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But there is much work ahead to adapt NLP for use in this highly competitive area. Integrated NLP-enabled chatbots have become part of many BI-oriented systems along with search and query features.
This is where recommendation algorithms struggle most: they have to draw the most accurate conclusions possible based on sparse data. For example, to give User 1 a recommendation, you could try to ...
NLP/NLG algorithms can potentially spot these exploitable flaws and generate alerts. Authentication – This type of AI can potentially be used to authenticate users by analyzing the way they ...
That is, when people understand how algorithms filter information, how users’ data are used to create algorithms, and what the consequences are, they better see the potential pitfalls of feeding ...
Discover how natural language processing (NLP) can be used to effectively detect fake news. Learn about the key techniques, examples and tools that NLP offers in the battle against misinformation.
They use algorithms to make match recommendations using your data, which includes personal info (like location and age) as well as preferences you set and your app activity.
A UK controversy about school leavers’ marks shows algorithms can get things wrong. To ensure algorithms are as fair as possible, how they work and the trade-offs involved must be made clear.
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