Question
A data analyst is analyzing data and would like to build conceptual associations. Which of the following is the best way to accomplish this task?
- A. n-grams Correct
- B. NER
- C. TF-IDF
- D. POS
Explanation
N-grams capture sequences of adjacent words, so they show which terms occur together and let the analyst associate words into concepts (for example, "credit" and "card" forming "credit card"). Named entity recognition only tags names of people, places and organizations, TF-IDF weights how important individual terms are to a document, and part-of-speech tagging labels the grammatical role of each word; none of these builds associations between terms.
