I am trying to perform sentiment analysis on a twitter data set. For that I am using few positive and negative dictionaries. What I want is that for below tweet
The movie intersteller was insanely awesome
Positive Dictionary: Good 2 awesome 5
Negative Dictionary: bad -2 insanely -3
So the score of the tweet should be = -3 (insanely) + 5(awesome) = 2
I have been able to match my dataset against these dictionary to create a posMatch variable which looks like below: posMatches <- match(words, afinn_list$word)
posMatches NA NA NA NA 1104 NA NA NA NA NA NA NA NA NA NA NA NA 1836 NA Now I know which location contains a match. I need help to sum of weigts of say location 1104 and 1836 in above example