Here is a complete description of features used in the following paper:

Zhu, H., Kraut, R.E., Wang, Y.C., & Kittur, A. Identifying Shared Leadership in Wikipedia. Accepted by CHI’2011.

For questions, please contact haiyiz@cs.cmu.edu

Feature Name

Feature description

Vocabulary used in the feature

Weak positive-polarity words Frequency of weak positive-polarity words based on a subjectivity lexicon (Wilson T., Wiebe J., and Hoffmann P 2009) subjectivity lexicon
Strong positive-polarity words Frequency of strong positive-polarity words based on a subjectivity lexicon (Wilson T., Wiebe J., and Hoffmann P 2009) subjectivity lexicon
Weak negative-polarity words Frequency of weak negative-polarity words based on a subjectivity lexicon (Wilson T., Wiebe J., and Hoffmann P 2009) subjectivity lexicon
Strong negative-polarity words Frequency of strong negative-polarity words based on a subjectivity lexicon (Wilson T., Wiebe J., and Hoffmann P 2009) subjectivity lexicon
Strong positive adjectives Frequency of strong positive adjectives used in praise, such as “excellent”, “great”, “impressive”, etc. incredible, wellwritten, great, excellent, successful, outstanding, impressive, best, highest, outstanding, featured, greatest, awesome, fantastic, nice, beautiful, good
Negation
 
Frequency of negation words and phrases (e.g., not, shouldn't, doesn’t). not, cannot, can't, doesn't, didn't, shouldn't, should, won't, mustn't, haven't, hasn't, wouldn't, isn't, aren't, wasn't, weren't, couldn't
Barnstar Frequency of the following words: “barnstar”, “reward” and “medal”. barnstar,  reward, medal
Acknowledge Frequency of phrase patterns of “thank you/thanks for”. thank you for, thanks for
Causative/subjunctive verbs Frequency of  causative/subjunctive verbs including “make”, “suggest”, “recommend”, “wish” and “need”.  make, have, get, let, help, collaborate, advise, advocate, anticipate, ask, command, expect, desire, demand, insist, hope, necessitate, need, postulate,propose, recommend, request, require, suggest, urge, want, wish.
<You+modal> Frequency of sentences starting with a pronoun “you” immediately followed by a modal word (e.g., should, might, must) or vice versa. you can, you could, you shall, you may, you might, you must, you should, you will, you would, you'd
can you, could you, shall you, may you, might you, must you, should you, will you, would you
<Please+verb> Frequency of sentences beginning with the word “please” plus a verb. N/A 
<If+you> Frequency of phrase “if you” if you
Negative jargon
 
Frequency of negative Wikipedia-specific jargons such “vandalism” and “nonfree” spam,revert,reverted, block, blocked,remove, removed, delete, deleted, vandalism,vandalise,vandalised, vandalized, vandalize, violate, violated, nonfree, copyright, disputed, dispute, noneutral, fair use
Smiley Textual expressions such as :), ;).  :), :P, :b, :-), :-P, :-b, ;), ;P, ;b, ;-), ;-P, ;-b, ^_^, =), =], smile, smiles, smiling, balloon, balloons 
Greetings Greeting words/phrases, such as hello, and happy new year. hi, hey, ha, hello , cheers, regards, new year, merry christmas, see you, good day, nice day
Congrats Variant forms of the word “congratulation”. congrats, congratulation, congratulations
Welcome Variants of the word of “welcome”. welcome
Newsletter Frequency of the word of “newsletter” newsletter
Wikiproject Frequency of the word of “Wikiproject” wikiproject
He/she Frequency of “he, him, his, she, her”. he, him, his, she, her
Length Number of word tokens in a message N/A