Named Entity Recognition (NER) is an essential task of Natural Language Processing (NLP) that is focused on identifying and classifying particular parts of text, including names of individuals, organizations locations, dates, and numbers. In essence, NER helps transform unstructured text into structured data, by identifying relevant entities. For instance for instance, in the phrase...

In the area of natural processing of text and language among the top and most frequently employed methods for analyzing the significance of words in the text is the TF-IDF. The term refers to the term Term Frequency Inverse Document Frequency and is a key element in tasks like document ranking, information retrieval and extraction of keywords. In essence, the TF-IDF measure how important words...