 With the proposed computational framework, we derive significant findings, e.g. the percentage of females in both hoarding and anti-hoarding groups is higher than that of the general Twitter users . Furthermore, using topic modeling, we investigate the opinions expressed about the hoarding behavior by categorizing these topics according to demographic and geographic groups.
<clarity>  With the proposed computational framework, we derive significant findings, e.g. the percentage of females in both hoarding and anti-hoarding groups is higher than that of the general Twitter users . Furthermore, using topic modeling, we investigate the opinions expressed about the hoarding behavior by categorizing these topics according to demographic and geographic groups.
 With the proposed computational framework, we derive significant findings, e.g. the percentage of females in both hoarding and anti-hoarding groups is higher than that of the general Twitter users . Furthermore, using topic modeling, we investigate the opinions expressed towards the hoarding behavior by categorizing these topics according to demographic and geographic groups.