What are the different types of NLP methods?

Natural Language Processing (NLP) methods refer to a variety of techniques used to understand and process human language in a computational way. There are several different types of NLP methods, each serving different purposes. Some common methods include sentiment analysis, where the sentiment or emotion of a piece of text is determined; machine translation, which involves translating text from one language to another using automated algorithms; named entity recognition, which identifies and classifies named entities such as people, organizations, and locations in a text; and text summarization, where longer texts are condensed into shorter, coherent summaries. Other methods include part-of-speech tagging, text classification, topic modeling, and many more, all of which contribute to extracting meaning and insights from text data using computational approaches.

This mind map was published on 7 November 2023 and has been viewed 90 times.