LDA analysis

 

Word Cloud

[(0,

‘0.006*”town” + 0.006*”team” + 0.005*”year” + 0.005*”small” + 0.005*”boy” + 0.005*”day” + 0.004*”father” + 0.004*”mother” + 0.004*”friend” + 0.004*”world” + 0.003*”woman” + 0.003*”love” + 0.003*”good” + 0.003*”young” + 0.003*”girl” + 0.003*”way” + 0.003*”story” + 0.003*”time” + 0.003*”life” + 0.003*”guy” + 0.003*”man” + 0.003*”new” + 0.003*”country” + 0.003*”thing” + 0.003*”old” + 0.003*”big” + 0.002*”school” + 0.002*”daughter” + 0.002*”owner” + 0.002*”kid”‘),

(1,

‘0.013*”life” + 0.009*”friend” + 0.008*”new” + 0.007*”love” + 0.007*”man” + 0.006*”good” + 0.006*”time” + 0.005*”family” + 0.005*”school” + 0.004*”year” + 0.004*”woman” + 0.004*”young” + 0.004*”old” + 0.004*”high” + 0.004*”brother” + 0.004*”world” + 0.003*”father” + 0.003*”york” + 0.003*”thing” + 0.003*”relationship” + 0.003*”couple” + 0.003*”story” + 0.003*”way” + 0.003*”college” + 0.003*”job” + 0.003*”comedy” + 0.003*”day” + 0.003*”girlfriend” + 0.003*”movie” + 0.003*”big”‘),

(2,

‘0.009*”life” + 0.008*”new” + 0.006*”man” + 0.005*”old” + 0.005*”year” + 0.005*”girl” + 0.005*”friend” + 0.004*”young” + 0.004*”family” + 0.004*”good” + 0.003*”world” + 0.003*”time” + 0.003*”school” + 0.003*”york” + 0.003*”love” + 0.003*”star” + 0.003*”big” + 0.003*”father” + 0.003*”home” + 0.003*”drug” + 0.003*”job” + 0.003*”night” + 0.002*”way” + 0.002*”city” + 0.002*”son” + 0.002*”plan” + 0.002*”criminal” + 0.002*”crime” + 0.002*”girlfriend” + 0.002*”-PRON-“‘),

(3,

‘0.009*”man” + 0.005*”new” + 0.005*”family” + 0.005*”woman” + 0.004*”friend” + 0.004*”time” + 0.004*”story” + 0.004*”world” + 0.003*”-PRON-” + 0.003*”film” + 0.003*”young” + 0.003*”help” + 0.003*”group” + 0.003*”american” + 0.003*”night” + 0.003*”girl” + 0.003*”police” + 0.003*”son” + 0.003*”life” + 0.002*”wife” + 0.002*”school” + 0.002*”secret” + 0.002*”day” + 0.002*”town” + 0.002*”power” + 0.002*”great” + 0.002*”baby” + 0.002*”kid” + 0.002*”hard” + 0.002*”parent”‘)]

 

 

 

From the result of topic modeland Wordcloud, we can roughly determine four main topic of the overviews of comedy.

  • Relationship in family
  • The love between friends
  • A story between man and woman, which may related to their school days
  • The refresh new life of a man

 

And from the topics, we may have a glimpse of why comedy enjoys great popularity during economy boosting period. The possible reason it that, people tend to be in a good mood with boosting economic condition, thus they are more willing to seek inner emotional needs. And the main topics of comedy reflect the four highly stressed emotional needs topics: family, friends, love and new life. The laugh and happy hours brought by these comedies making audience look forward to brighter lives.

 

 

 

 

Compare with US economics trend and 10  Comedy movies from The Top 100 Greatest Comedy Films in US, we can find most greatest comedy films are produced in economic boosting periods.