Text analysis and natural language processing (NLP) are an integral part of modern artificial intelligence systems. Computers are good at understanding rigidly structured data with limited variety. However, when we deal with unstructured, free-form text, things begin to get difficult. Developing NLP applications is challenging because computers have a hard time understanding the underlying concepts. There are also many subtle variations to the way that we communicate things. These can be in the form of dialects, context, slang, and so on.
In order to solve this problem, NLP applications are developed based on machine learning. These algorithms detect patterns in text data so that we can extract insights from them. Artificial intelligence companies make heavy use of NLP and text analysis in order to deliver relevant results. Some of the most common applications of...
