Python Natural Language Processing

Comparing n-grams and BOW

We have looked at the concepts of n-grams and BOW. So, let's now see how n-grams and BOW are different or related to each other.

Let's first discuss the differences. Here, the difference is in terms of their usage in NLP applications. In n-grams, word order is important, whereas in BOW it is not important to maintain word order. During the NLP application, n-gram is used to consider words in their real order so we can get an idea about the context of the particular word; BOW is used to build vocabulary for your text dataset.

Now let's look at some meaningful relationships between n-grams and BOW that will give you an idea of how n-grams and BOW are related to each other. If you are considering n-gram as a feature, ...