**Explain N-GRAM:** The analysis of sequences of n items (typically, words in natural language) to look for patterns. For example, trigram analysis examines three-word phrases in the input to look for patterns such as which pairs of words appear most often in the groups of three. The value of n can be something other than three, depending on your needs. This helps to construct statistical models of documents (for example, when automatically classifying them) and to find positive or negative terms associated with a product name. See also computational linguistics, classification.

Different definitions in web development like **n-gram** in Dictionary N.

- Manual Normal Distribution:
- Meaning distribution. (Carl Friedrich Gauss was an early nineteenth-century German mathematician.) A probability distribution which, when graphed, is a symmetrical bell curve with the mean value at the n-gram.
- Manual Neural Network:
- Meaning artificial neural network to distinguish it from the brain, upon which this algorithm is modeled. “A robust function that takes an arbitrary set of inputs and fits it to an arbitrary set of outputs n-gram.
- Manual Naive Bayes Classifier:
- Meaning classification algorithms based on Bayes Theorem. It is not a single algorithm but a family of algorithms that all share a common principle, that every feature being classified is independent of the n-gram.
- Manual NoSQL:
- Meaning management system that uses any of several alternatives to the relational, table-oriented model used by SQL databases. While this term originally meant “not SQL,” it has come to mean something closer n-gram.
- Manual Null Hypothesis:
- Meaning model for a data set says that the value of x is affecting the value of y, then the null hypothesis—the model you're comparing your proposed model with to check whether x really is affecting n-gram.