We are using Youtube API V3 to collect data.We will be doing this by creating youtube API credentials.Resulted csv files of Music,Sports,News will be used as input files.we will analyse csv file containing different parameters like Video id,text display,text original,user name,video url,channel url, channel name,no of likes and ratings.And analyse the data using output parameters as positive,negative and neutral. Data wrangling techniques will be used to clean and transform the data.
In online video platform youtube is the primary choice for everyone and having a wide audience thousands of videos and comments are uploaded every minute.We are interested in sentiment analysis/text analysis technique to determine whether the users comments are a positive, negative or neutral and whether comments are parallel with the content they are watching. We will understand the sentiments expressed in comments to see how they will effect the brand in form of Music,Sports and News.