Some of the applications of NLG are question answering and text summarization.

What is text in natural language. Text mining plays an important role to extract meaningful information from the data by identifying and exploring the interesting patterns. Natural Language Generation NLG is a subfield of NLP designed to build computer systems or applications that can automatically produce all kinds of texts in natural language by using a semantic representation as input. AutoML classifies content in custom categories for your specific needs.

This makes it easy to compare texts of differing lengths. Natural language understanding is a branch of artificial intelligence that uses computer software to understand input in the form of sentences using text or speech. Natural Language API reveals the structure and meaning of text with thousands of pretrained classifications.

In the general framework of knowledge discovery data mining techniques are usually dedicated to information extraction from structured databases. Natural language processing NLP is one of them. NLG is much simpler to accomplish.

If you asked the computer a question about the weather it most likely did an online search to find your answer and from there it decides. Natural Language Generation NLG. Best of all NLTK is a free open source community-driven project.

Instead in text mining the main scope is to discover relevant information that is possibly unknown and hidden in the context of other information. It provides easy-to-use interfaces to many corpora and lexical resources. AutoML classifies content in custom categories for your specific needs.

Also it contains a suite of text processing libraries for classification tokenization stemming tagging parsing and semantic reasoning. A sequence of words of arbitrary length mapped to a vector in this space. For our purposes the data that an ML algorithm encounters is natural language most often in the form of text and typically annotated with tags that highlight the specific features that are relevant to the learning task.