Dataset Open Access
Abstract (our paper)
Many researchers work on studies for discovering trend keywords and queries on the web, i.e., search frequency and social media. Moreover, studies on trend query classifications are being conducted. However, the behavior of trend queries for various web resources is unclear. In this study, we investigate how trend queries appear in different resources on the web. We clarify the following. (1) Most trend queries are not registered with online dictionary services. (2) The trend converges in approximately two days. (3) Social media websites (such as Twitter) are responsive to trend queries.
This data set was created for our study. If you make use of this data set, please cite:
Mitsuo Yoshida, Yuki Arase. Trend Query Analysis on Heterogeneous Web Resources. IPSJ Transactions on Databases (in Japanese). vol.9, no.1, pp.20-30, 2016.
|2ch.txt.gz md5:96fa0b8be6bb0dde8e0e7c127078ce49||5.5 MB||Download|
|google.txt.gz md5:d0de5ffcd3d0104a2b810c7edffb9d25||3.6 MB||Download|
|hatena.txt.gz md5:e373e341f7fee7262c954d433340abca||7.2 MB||Download|
|keywords.txt.gz md5:a7801d172aeb968740c382141321a8c9||528.6 kB||Download|
|news.txt.gz md5:5e0de493f297cfbce854c1b63c3b85ef||10.0 MB||Download|
|twitter-api.txt.gz md5:892ceafd5fe87a87fe40e20f604cf752||536.0 kB||Download|
|twitter-topsy.txt.gz md5:b54b265e61e65df791a1590f39a0cddf||12.5 MB||Download|
|wikipedia.txt.gz md5:0e9deae506aea2875cccf072e748c3ae||4.5 MB||Download|