Keyword Extraction

Keyphrase or keyword extraction in NLP is a text analysis technique that extracts important words and phrases from the input text. These key phrases can be used in a variety of tasks, including information retrieval, document summarization, and content categorization. This task is performed in two stages:

1. Candidate Generation: This process involves the identification of all possible keywords from the input text.
2. Keyphrase Ranking: After the candidate keywords are generated, they are ranked in order of importance for the identification of the best keywords.

Some of the popular key phrase generating tools and algorithms are RAKE, YAKE, spaCy, Textacy.

In this article, we will learn how to perform key phrase and keyword extraction from text using natural language techniques. We will first discuss about keyphrase and keyword extraction and then look into its implementation in Python. We would be using some of the popular libraries including spacy, yake, and rake-nltk.