Reading Time: 8 Minutes ReadNatural Language Processing (NLP) is a subfield of artificial intelligence (AI) that aims to improve communication between humans and computers. People speak in languages defined by error-prone rules. They make mistakes and use illogical statements, yet they still understand each other pretty well. Computers, on the other hand, need a perfect structure, preferably already in the form of ones and zeros. Since few of us can use raw binary and machines still struggle with the concept of sarcasm, there’s certainly a gap to bridge. “Hello!” “01001000 01101001 00100001” Success in business depends on data analysis, as it gives the direction for improvement. But unlike spreadsheets and tables, natural language is an unstructured source. The textual and verbal data people generate every day exceeds human processing powers. The solution, therefore, is to automatically extract the information that’s relevant. Natural Language Processing allows machines to figure out the complex meaning in our sentences. It works in the background of many services from chatbots through virtual assistants to social media trends tracking. Read this blog post to learn more about the difficulties and solutions of various NLP-related problems.