Keyword Extraction
For a given piece of text, Keyword Extraction technique identifies and retrieves words or phrases from the text. The main objective of this technique involves identifying the meaningful terms from the text, which represents the important ideas or information present in the document. Keyword Extraction is distinct from text classification and topic modeling, because text classification assigns predefined cateogires to documents, and topic modeling uncovered latent topics withing a text corpus, but keyword extraction focuses on extracting specific words or phrases that are highly informative and represents the crucial information of the document.
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.