Business Statistics and Analytics (BSAN) Practice Test

Bigrams are defined as tokens that consist of two consecutive words. In the context of text analysis and natural language processing, bigrams are used to capture and analyze the relationship between adjacent words within a text. This technique is particularly useful for understanding context, improving language models, and enhancing various applications such as recommendation systems and sentiment analysis.

For instance, in the phrase "data analysis," the bigram would be "data analysis." This allows for the exploration of common pairs of words that frequently appear together, giving insights into language patterns and trends. The significance of bigrams lies in their ability to provide more context compared to single-word tokens, while also simplifying the complexity of parsing longer phrases.