N-grams — AI for Marketers


N-grams: What is it?

In the field of computational linguistics, an n-gram is a contiguous sequence of n items from a given sample of text or speech. N-grams are widely used in natural language processing and computational linguistics.

What are some use cases for Marketers?

N-grams can be used in text analysis for various marketing tasks, such as keyword analysis, sentiment analysis, or customer feedback analysis.

What are the advantages for Marketers who understand N-grams?

N-grams provide a simple and effective method for analyzing text data and can reveal patterns that individual words cannot.

What are the challenges related to N-grams?

As the value of n increases, the number of possible n-grams grows exponentially, which can lead to high computational requirements. Also, n-grams do not capture long-range dependencies between words.

Examples of applying N-grams for Marketers

In the sentence “I love this product”, the 2-grams (also called bigrams) would be: “I love”, “love this”, and “this product”.

The future of N-grams

With the rise of more sophisticated language models, n-grams might be used in combination with other techniques to capture more nuanced language patterns.
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