What is the difference between a unigram, bigram, and n-gram model?
In natural language processing, unigrams, bigrams, and n-grams are statistical models. They help predict the probability of word sequences. These models uncover patterns in text, aiding in tasks like language modeling and sentiment analysis. A unigram model looks at each word alone, ignoring the word before it. Bigrams, on the other hand, consider the word…