Change sentiment of a single word
I have fixed the problem. Found the vader Lexicon file in AppData\Roaming\nltk_data\sentiment. Going through the file I found that the word Quick wasn't even in it. The format of the file is as following:
Token Mean-sentiment StandardDeviation [list of sentiment score collected from 10 people ranging from -4 to 4]
I edited the file. Zipped it. Now NLTK refers to Quick as having positive sentiments.
I've been working with NLTK in Python for a few days for sentiment analysis and it's a wonderful tool. My only concern is the sentiment it has for the word 'Quick'. Most of the data that I am dealing with has comments about a certain service and MOST refer to the service as being 'Quick' which clearly has Positive sentiments to it. However, NLTK refers to it as being Neutral. I want to know if it's even possible to retrain NLTK to now refer to the Quick adjective as having positive annotations?