• No results found

Mining Newsorthy Topics from Social Media

N/A
N/A
Protected

Academic year: 2019

Share "Mining Newsorthy Topics from Social Media"

Copied!
13
0
0

Loading.... (view fulltext now)

Full text

Loading

Figure

Fig. 1: Twitter activity during events (tweets per minute). For the FA Cup, the
Fig. 2: Topic recall for different clustering techniques in the Super Tuesday, FACup and US elections sets (slot size = 1500 tweets).
Table 2: Normalised area under the curve for the three datasets combining thedifferent clustering and topic ranking techniques (1500 tweets per slot).
Table 4: Examples of the mainstream media topics, the target keywords, thetopics extracted by the df-idft algorithm, and example tweets selected by oursystem from the collections.

References

Related documents

[r]

Here, we investigate how young human children perform in two commonly used versions of the prosocial game when tested under conditions identical to nonhuman primates (i.e.

Aim: The study of results of Total Knee Arthroplasty based exclusively on the use of models Posterior stabilized (PS) or Cruciate retaining (CR) may be insufficient

[r]

elements combine the information stored in the component object and the associated content objects and therefore they represent rather page elements than database ele- ments..

Abstract. Rapid urbanization is among the most important causes of ecological degradation across dierent spatial scales ranging from global to regional and local. As protection

Smith-Wright et al6 reported a 71% complication rate in children less than 6 years of age and a 24% rate in the 6- to 15-year-old age group for their course of catheterization;

The study shows that the fluorescence complex DPA‑Eu‑CyDTA can be reliably used for the detection of endospores in Bacillus fermentation for the production of probiotics.. Keywords: