The Social Mood of News: Self-reported Annotations to Design Automatic Mood Detection Systems

[ ] Mean Word Frequency =N/V
[ ] Type-Token Ratio =V /N
[ ] Guiraud’s R=V /sqrt(N
[ ] Herdan’s C=log(V)/log(N)
[ ] Rubet’s K=log(V)/log(log(N))
[ ] Maas A= (log(N)−log(V))/log2(N)=a2
[ ] Dugast’s U=log2(N)/(log(N)−log(V))
[ ] Lukjanenkov and Neistoj’s LN= (1−V2)/(V2∗log(N))
[ ] Brunet’s W=N(V(−a)), a= 0.172
[ ] Honore’s H=b(log(N)/a−(V(1, N)/V)), b= 100, a= 1
[ ] Sichel’s S=V(2, N)/V
[ ] Michea’s M=V /V(2, N)
[ ] Herdan’s V=sqrt(sum(V(i, N)∗(V(i, N)/N)2)−1/V)
[ ] Yule’s K=a(−1/N+sum(V(i, N)∗(V(i, N)/N)2)), a= 1
[ ] Simpson’s D=sum(V(i, N)(V(i, N)/N)(V(i, N)−1)/(N−2))
[ ] Entropy =V(i, N)(−log((V(i, N)/N))s∗(V(i, N)/N)t, s=t= 1
[ ] General: word count, average number of words per sentence, a percentage of words found in the dictionary and percentage of words longer than six letters and numerals.
[ ] Linguistic: pronouns and articles.
[ ] Psychological: affect, cognition, and biological phenomena.
[ ] Paralinguistic: accents, fillers, and disfluencies.
[ ] Personal concerns: work (e.g., job and majors), achievement (e.g., earn, hero, and win) and home(e.g., family).
[ ] Punctuation marks and spoken categories such as assent (e.g., agree, OK and yes) nonfluencies (e.g.,Er, hm and umm)

DonaldTsang / stylo