Two concepts, one mission: to make machines understand humans. Natural Language Processing (NLP) and Machine Learning (ML) are all the rage right now as techniques that complement each other rather than as NLP vs ML. In this post, we will focus on NLP and how it works together with ML to solve the challenges Artificial Intelligence is posing.
While a picture may be worth a thousand words – a thousand words may be worth thousands of dollars. Never thought how valuable all your company unstructured data would be? This heterogeneous knowledge can turn out to be quite useful for companies, however, there is still much to be learned.
When I enter a bookshop and ask for something light, I normally assume that I will get a book and it will be some light reading, not something in bright colors or below 500-gram weight. What’s more, there is no elevated risk that I will be misunderstood. I go out of the shop with the book I wanted, and the whole experience leaves me satisfied.
Last week we talked about how much time and effort is saved by sentiment analysis tools, which greatly reduce the amount of time and effort required to prepare your datasets for analysis and gain insight into what customers are telling you.
The well-known technology analyst Stephen Arnold has published an exclusive interview with Bitext Founder and CEO Antonio Valderrábanos: "Moving Forward with Enterprise Semantics" in his Information Technology Search Wizards Speak series.