The Truth About Natural Language Processing: Myth 3
Thus far in our “Dispelling Common NLP Myths” series, we’ve revealed the facts about two common natural language processing myths. In the first post, we share details surrounding the belief that human labeling of data is the only way to teach and train complex algorithms. The second post discusses the benefits and limitations of freemium systems. In this post, learn how to determine whether you need extensive NLP customization to get results for your business.
According to a report conducted by PR Newswire*, this market is expected to triple from $3.8 million in 2013 to $9.9 million in 2018. Much of this growth can be attributed to businesses looking for ways to provide highly personalized customer experiences by gaining a clear understanding of preferences and intentions through data collected from online and offline interactions.