August 2022
Intermediate to advanced
441 pages
11h 26m
Chinese
Content preview from Python文本分析
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非监督学习
：
主题建模与聚类
｜
261
Overall, the graph grows with the number of topics, which is almost always the case.
However, we can see “spikes” at 13 and 17 topics, so these numbers look like good
choices. We will visualize the results for 17 topics:
display_topics_gensim(lda_para_model_n[12][1])
Out:
Topic 00
peace (0.02)
international
(0.02)
cooperation (0.01)
countries (0.01)
region (0.01)
Topic 01
general (0.05)
assembly (0.04)
session (0.03)
president (0.03)
mr (0.03)
Topic 02
united (0.04)
nations (0.04)
states (0.03)
european (0.02)
union (0.02)
Topic 03
nations (0.07)
united (0.07)
security (0.03)
council (0.02)
international
(0.02)
Topic 04
development
(0.03)
general (0.02)
conference ...
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