With Natural Language Processing (NLP) slated to become a multi-billion dollar industry by 2020, we can expect to see more and more uses arising for this technology. The marketing sector stands to see some dramatic changes from NLP, as so-called “conversational marketing” becomes an increasingly common buzzword. So how will companies be using Natural Language Processing for marketing in the coming months and years? And what will this mean for consumers?
Natural language processing (NLP) technology has evolved rapidly over the last decade, creating a bridge between humans and computers. NLP combines artificial intelligence and smart algorithms capable of understanding human language. The technology is becoming more nuanced, as it can now understand a variety of accents and dialects. Read More
Natural language processing (NLP) is one of the most exciting technologies available today. The technology can parse human language in order to identify patterns or extract the most important data from messages or emails.
The power of machine learning to benefit mobile apps is remarkable. Although machine learning technology was initially conceived by tech pioneer Arthur Samuel while working at IBM in 1959, it has only recently entered the mainstream. An increasing number of app developers are opting to use machine learning in conjunction with other cutting-edge technologies such as artificial intelligence and predictive analytics.
As we see advances in natural language processing (NLP) and related technology fields—including machine learning and artificial intelligence—an increasing number of mobile apps are leveraging such technology. These innovations are impressive considering NLP has only been in the mainstream for a few years.