An Application-Oriented Survey on the Adaptability of Artificial Intelligence for Natural Language Processing

The application domains for artificial intelligence and machine learning are expanding exponentially in recent times. The domains such as automation in software and business processes, healthcare, agriculture, robotics, and mostly natural language processing have seen the most adaptations. The domain of natural language processing seeks the maximum adaptation due to various sub domain applications such as textual classification, detection of emotions, design and delivery of virtual assistant tools, extraction of knowledge, content summarization, content recommendations, user profiling for content consumption habits, grammar and dialect verification, and text summation. These subdomains cater to a wide range of purposes such as user profiling or emotion extraction for surveying or feedback analysis for data-driven applications.