Two concepts, one mission: to make machines understand humans. Natural Language Processing (NLP) and Machine Learning (ML) are all the rage right now, but people tend to mix them up. In this post, there will be a distinction between these two different but complementary terms in the field of Artificial Intelligence.
On 24 and 25 April 2019, at the old Customs House in Hamburg, Bitext was one of 54 companies backed by the European Innovation Council (EIC) pilot that had the opportunity to pitch and present their business cases and to engage in one-on-one business meetings with representatives from some of the leading Corporates in Europe. The multi-corporate event was promoted by the EIC pilot together with comdirect.
Sentiment Analysis is a procedure used to determine if a chunk of text is positive, negative or neutral. In text analytics, natural language processing (NLP) and machine learning (ML) techniques are combined to assign sentiment scores to the topics, categories or entities within a phrase.
The most significant aspect of a virtual agent is how fast it is able to learn. With a human in the conversational loop, training AI goes much faster: your bot learns and changes, keeping knowledge up to date.
Due to the growing interest in AI among forward-looking companies, many CIOs are currently racking their brains to build an appropriate AI strategy plan in order to move closer towards their business objectives. Although there are plenty of solutions offered by AI vendors, enterprises are still missing information about what is coming. The following guide, based on a report from Gartner, will help you follow the best path in the field of Artificial Intelligence.