Named Entity Recognition (NER)
Named Entity Recognition or NER is used to identify entities and classify them into predefined categories, where entities include things like person names, organizations, locations, and named items in the text. This technique is very important for information extraction and by using this you get sense of large volumes of unstrucutred data by identifying entities and categorizing them into predefined cateogories.
Natural Language Processing (NLP): 7 Key Techniques
Natural Language Processing (NLP) is a subfield in Deep Learning that makes machines or computers learn, interpret, manipulate and comprehend the natural human language. Natural human language comes under the unstructured data category, such as text and voice. Generally, computers can understand the structured form of data, such as tables and spreadsheets in the database, since the human language, like text and voice, comes under the category of unstructured data, and since computers can’t understand the unstructured textual or voice data, NLP comes into action.
In this article, we will explore about 7 Natural Language Processing Techniques that form the backbone of numerous applications across various domains.