NLP approaches generally use linear algebraic approaches. So, mo…

NLP approaches generally use linear algebraic approaches. So, most approaches for text NLP first convert the text or spoken words into tensor of integers. One of the easiest but most effective way is word vector embedding. Word vector embedding first requires a table of words to convert each word into a number. Whole vocabularies for analysis should be enlisted on the table. After writing the table, input sentences are tokenized and converted into a series of number, referencing the table. 다음의 기준에 맞추어 이 영어 지문 해석의 난이도를 종합하여 알려주세요. 1. 일상적이지 않은 단어, 2. 문장의 복잡성, 3. 배경지식의 필요성