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Lsi Model

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-05.)

Lsi Model has 7 facts recorded in Dontopedia across 1 reference, with 1 live disagreement.

7 facts·6 predicates·1 sources·1 in dispute

Mostly:has parameter(2), has method(1), uses argument(1)

Maturity scale raw canonical shape-checked rule-derived certified

Has Parameterin disputehasParameter

  • Id2word[1]sourceall time · 29eb6045 85ca 4c16 Aabb 7adceec47390
  • Num Topics[1]sourceall time · 29eb6045 85ca 4c16 Aabb 7adceec47390

Has MethodhasMethod

Uses ArgumentusesArgument

  • Corpus[1]sourceall time · 29eb6045 85ca 4c16 Aabb 7adceec47390

Instantiated FrominstantiatedFrom

  • Lsi Model[1]sourceall time · 29eb6045 85ca 4c16 Aabb 7adceec47390

Rdfs:labelrdfs:label

  • lsi_model[1]sourceall time · 29eb6045 85ca 4c16 Aabb 7adceec47390

Rdf:typerdf:type

Inbound mentions (2)

Other subjects in dontopedia point AT this entity as a value. These are inverse relationships — e.g. "X motherOf this subject" — and answer questions the forward facts can't. Grouped by predicate.

assignedByAssigned by(1)

createsVariableCreates Variable(1)

Timeline

Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.

hasMethodbeam/29eb6045-85ca-4c16-aabb-7adceec47390
ex:print_topics
hasParameterbeam/29eb6045-85ca-4c16-aabb-7adceec47390
ex:id2word
hasParameterbeam/29eb6045-85ca-4c16-aabb-7adceec47390
ex:num_topics
instantiatedFrombeam/29eb6045-85ca-4c16-aabb-7adceec47390
ex:LsiModel
labelbeam/29eb6045-85ca-4c16-aabb-7adceec47390
lsi_model
typebeam/29eb6045-85ca-4c16-aabb-7adceec47390
ex:PythonVariable
usesArgumentbeam/29eb6045-85ca-4c16-aabb-7adceec47390
ex:corpus

References (1)

1 references
  1. [1]beam-chunk7 facts
    customctx:claims/beam/29eb6045-85ca-4c16-aabb-7adceec47390
    • full textbeam-chunk
      text/plain1 KBdoc:beam/29eb6045-85ca-4c16-aabb-7adceec47390
      Show excerpt
      from gensim.models import LsiModel, HdpModel # Perform LSI lsi_model = LsiModel(corpus, num_topics=5, id2word=dictionary) # Print the topics topics = lsi_model.print_topics() print(topics) # Perform HDP hdp_model = HdpModel(corpus, id2wo

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