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A bigram is a contiguous sequence of two adjacent words found within a text. Along with N-grams (single words), bigrams are analyzed to understand the core semantic patterns within a set of keywords or queries. Tools like KeyBERT are used to extract the single most important N-gram and the most important Bigram from a keyword, providing a compact label representing the query’s semantic core. Visualizing the relationships between core N-grams and Bigrams can reveal key insights into a dataset, such as high-volume or high-intent phrases.
