Morphological features
- The existence of elongated tokens (e.g., “baaad”)
- The number of elongated tokens
- The existence of date references
- The existence of time references
- The number of tokens that contain only upper case letters
- The number of tokens that contain both upper and lower case letters
- The number of tokens that start with an upper case letter
- The number of exclamation marks
- The number of question marks
- The sum of exclamation and question marks
- The number of tokens containing only exclamation marks
- The number of tokens containing only question marks
- The number of tokens containing only exclamation or question marks
- The number of tokens containing only ellipsis(...)
- The existence of a subjective (i.e., positive or negative) emoticon at the message’s end
- The existence of an ellipsis and a link at the message’s end
- The existence of an exclamation mark at the message’s end
- The existence of a question mark at the message’s end
- The existence of a question or an exclamation mark at the message’s end
- The existence of slang
POS based features
- The number of adjectives
- The number of adverbs
- The number of interjections
- The number of verbs
- The number of nouns
- The number of proper nouns
- The number of urls
- The number of subjective emoticons
- The average, maximum and minimum F1 scores of the message’s POS unigrams for the positive , negative and the neutral class
- The average, maximum and minimum F1 scores of the message’s POS bigram for the positive , negative and the neutral class
- The average, maximum and minimum F1 scores of the message’s POS trigram for the positive , negative and the neutral class
Sentiment lexicon based features
- Sum of scores
- Maximum of scores
- Minimum of scores
- Average of scores
- The count of words with scores
- The score of the last word of the message that appears in the lexicon
- The score of the last word of the message
Miscellaneous features
- Negation
- Carnegie Mellon University’s Twitter clusters(938 features)