Guide to NLP’s Textrank Algorithm

In this modern era, the amount of data or information is huge and important. We want our ML model, NLP model to perform precisely and accurately for every task. To develop a well-performing model, various exploratory data analysis techniques like removing stop words, stemming and lemmatizing the word. But in a situation where the amount of data or information is huge. For example, there is a huge amount of words present in any review, and we can't go thoroughly from all the reviews, and we will be required to summarize the text in such a manner where we can get an overview of the information. The algorithm text rank came here to provide automated summarized information of huge, unorganized information. This is not the only task we can perform by the package. Instead of summarizing, we can