Selected Topic:
Previous Topic
Next Topic
Clear Topic
Slide to adjust relevance metric:
(2)
0.0
0.2
0.4
0.6
0.8
1.0
λ =
1
PC1
PC2
Marginal topic distribtion
2%
5%
10%
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
Intertopic Distance Map (via multidimensional scaling)
Overall term frequency
Estimated term frequency within the selected topic
1. saliency(term w) = frequency(w) * [sum_t p(t | w) * log(p(t | w)/p(t))] for topics t; see Chuang et. al (2012)
2. relevance(term w | topic t) = λ * p(w | t) + (1 - λ) * p(w | t)/p(w); see Sievert & Shirley (2014)
pitt
street
pittsburgh
news
avenue
school
university
bridge
allegheny
north
south
company
man
building
house
road
river
side
park
county
construction
pennsylvania
window
carnegie
west
station
worker
east
railroad
build
Top-30 Most Salient Terms
(1)
0
5,000
10,000
15,000
20,000