HappyDB: A Corpus of 100,000 Crowdsourced Happy Moments Part of the work was done while Asai, Evensen, and Xu were at Recruit Institute of Technology.
Table 2: HappyDB Topics Distributions
['[EMPTY]', '% of Sentences', 'Size of']
Note that a happy moment may be related to multiple topics. For instance, “running with my son” is related to both “family” and “exercise”. All of the keywords lists are disjoint except for “people”: this is a superset of “family”, and also contains some words from other topics, for example “co-worker” which is also in “work”. We can observe that 80% of HappyDB pertains to these 9 topics. The remaining sentences that did not fit into any of these topics contain all sorts of topics, such as rare surprises (“finding a $100 dollar bill inside my pants pockets”) or situations that turned out to be better than expected (“There was almost no traffic today”). None of these other categories covered a large enough portion of our corpus to justify adding them to our dictionaries. However, this suggests that there is a long tail of topics in the corpus.