8 examples of Natural Language Processing you use every day without noticing For example, topic modelling (clustering) can be used to find key themes in a document set, and named entity recognition could identify product names, personal names, or key places. Document classification can be used to automatically triage documents into categories. Natural language processing (NLP) is the science of getting computers to talk, or interact with humans in human language. Examples of natural language processing include speech recognition, spell check, autocomplete, chatbots, and search engines. These are the types of vague elements that frequently appear in human language and that machine learning algorithms have historically been bad at interpreting. […]
AI News
Natural Language Processing NLP A Complete Guide
Your Guide to Natural Language Processing NLP by Diego Lopez Yse To recap, we discussed the different types of NLP algorithms available, as well as their common use cases and applications. The sentiment is then classified using machine learning algorithms. This could be a binary classification (positive/negative), a multi-class classification (happy, sad, angry, etc.), or a scale (rating from 1 to 10). NLP algorithms use a variety of techniques, such as sentiment analysis, keyword extraction, knowledge graphs, word clouds, and text summarization, which we’ll discuss in the next section. Symbolic algorithms can support machine learning by helping it to train the model in such a way that it has to […]
Inside Generative AI’s Promise for Travel Booking
AI Is Transforming Travel: Its Getting More Personal Meet Emma, Germany’s new AI travel influencer, who behaves remarkably like a chatbot. “I’m not entirely sure whether guests really want this,” he says. After all, tourism also thrives on human contact. That’s why the good old tourist information office is still holding its own. The same is true at the German National Tourist Board, where chatbots answer customer inquiries. Airlines have full control over their offer and will have the more chances to differentiate and strengthen their brands. Yeah, I think we’ll get there; it’s just going to take some time. Tech experts touched on the potential during a session at […]