VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media, and works well on texts from other domains.
Hey there!
I was using vaderSentiment to analyze Facebook comments on my ads and I realized that comments that used Facebook emojis were parsed as neutral {'pos': 0.0, 'neg': 0.0, 'compound': 0.0, 'neu': 1.0}
example -> Plus de 50 euros de frais de réservation, je trouve ça très exagéré !!😡
However, if I removed the Facebook emoji from a sentence that used those emojis I would get actual scores, for instance : {'pos': 0.0, 'neu': 0.834, 'compound': -0.2465, 'neg': 0.166}
Do you know why Facebook Emojis make the whole sentence neutral? Do you plan to add support for these emojis?
cjhutto
commented
4 years ago
Hey there! I was using vaderSentiment to analyze Facebook comments on my ads and I realized that comments that used Facebook emojis were parsed as neutral
{'pos': 0.0, 'neg': 0.0, 'compound': 0.0, 'neu': 1.0}example ->Plus de 50 euros de frais de réservation, je trouve ça très exagéré !!😡However, if I removed the Facebook emoji from a sentence that used those emojis I would get actual scores, for instance :{'pos': 0.0, 'neu': 0.834, 'compound': -0.2465, 'neg': 0.166}Do you know why Facebook Emojis make the whole sentence neutral? Do you plan to add support for these emojis?
Thanks!