Question

Which of the following techniques can be used to compute the distance

between two word vectors in NLP?

a. Lemmatization

b. Euclidean distance

c. Cosine Similarity

d. N-grams

Answer 1

b) and c)

Distance between two word vectors can be computed using Cosine similarity and Euclidean

Distance. Cosine Similarity establishes a cosine angle between the vector of two words. A cosine

angle close to each other between two word vectors indicates the words are similar and vice a

versa.

E.g. cosine angle between two words “Football” and “Cricket” will be closer to 1 as compared to

angle between the words “Football” and “New Delhi”