Abstract: Disclosed is a method for recommending a video by a video recommendation system, comprising: collecting and storing in a database of the video recommendation system videos related to products being sold and video information of the videos; converting voice included in each of the videos to text; obtaining words from the converted text and a time stamp for each of the words; extracting noun keywords in the text and identifying frequencies of the noun keywords, by analyzing morphemes of the text; performing a sentiment analysis on sentences composed of the words in the text; receiving a selection of one of the products; identifying videos associated with the selected product from among the videos stored in the database based on the noun keywords and the frequencies of the noun keywords; providing videos according to a predetermined criterion among the identified videos, based on a result of the sentiment analysis; and if one of the provided videos is selected, providing a partial video in a time section associa