As you know, natural language processing has many applications:
To perform these tasks, we need to calculate features such as TF-IDF scores (refer to Stemming, lemmatizing, filtering, and TF-IDF scores). Especially, with large datasets, it makes sense to store the features for easy processing. Search engines use inverted indices, which map words to web pages. This is similar to the association table pattern (refer to Implementing association tables).
We will implement the association table pattern with three tables. One table contains the words, another will implement the association table pattern with three tables. One table contains the words, another table holds the information about the documents, and the third table links the other two tables as...