NLP
Natural Language Processing enables computers to understand, interpret, and generate human language through advanced algorithms and machine learning. Modern NLP systems power chatbots, sentiment analysis, and automated content generation across industries.
Top 30+ NLP Use Cases with Real-life Examples
Natural Language Processing (NLP) has become a driving force behind business transformation across industries. The NLP market is projected to hit $53.42 billion by the end of 2025, growing at a remarkable annual rate of 24.76% to reach $201.49 billion by 2031, as companies increasingly look for competitive edges through these technologies.
In-depth Guide to Knowledge Graph: Use Cases
Your organization has data everywhere: customer databases, financial systems, HR records, project files, and emails. But when you need to answer “Which customers bought Product X and also had support tickets last month?” you’re stuck searching multiple systems, copying data to Excel, and hoping you didn’t miss anything. This data chaos costs companies millions.
Top 5 Natural Language Platforms (NLP) Comparison
There are numerous API providers in the chatbot landscape, with the majority focusing on Natural Language Processing (NLP) and Natural Language Understanding (NLU). It is a crucial decision to make, as this will affect the most important aspect of a conversational interface. We compared the top five natural language processing platforms and their features.