A couple of weeks ago, Facebook introduced an upgrade for its Messenger platform. The upgrade of Messenger was aimed to improve the user experience. According to the announcement, they have taken into consideration user’s feedback to create new features. It sounds...
In previous posts, we have outlined the crucial role of Machine Learning for Analytics (in How to Make Machine Learning more Effective using Linguistic Analysis?), and the implications of using Machine Learning for analyzing and structuring text (in How Phrase...
Text analysis is becoming a pervasive task in many business areas. Machine Learning is the most common approach used in text analysis, and is based on statistical and mathematical models. Linguistic approaches, which are based on knowledge of language and its...
Everything looks promising in the world of bots: big players are pushing platforms to build them (Google, Amazon, Facebook, Microsoft, IBM, Apple), large retail companies are adopting them (Starbucks, Domino’s, British Airways), press is excited about movies becoming...
In this blog we will discuss three ways of doing your chatbot evaluation by using: real world evaluation data synthetic data “in scope” or “out of scope” queries You have a chatbot up and running, offering help to your customers. But how do you...
Data scarcity is one of the major bottlenecks for Artificial Intelligence (AI) to reach production levels. The reason is simple: data, or the lack of it, is the number one reason why AI/Natural Language Understanding (NLU) projects fail. So the AI community is working...
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