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Need soon as possible Compute the tf-idf weighted cosine similarity between query q = nuclear energy and document d4. The collection has the following documents
Need soon as possible
Compute the tf-idf weighted cosine similarity between query q = "nuclear energy" and document d4. The collection has the following documents (idf should be based on only these documents):
d1= "energy drinks"
d2 = "solar energy generation"
d3 = "nuclear plant physics"
d4 = "energy of a nuclear weapon" ('of' and a' should be filtered out as stop words)
Fill in the values of A to G.
Document D4/query Terms | W tf | idf | Query Vector | Document vector |
energy | A | B | ||
nuclear | C | D | ||
weapon | E | F |
Cosine similarity: G
Type your answers here:
A:
B:
C:
D:
E:
F:
G:
Compute the tr-idf weighted cosine similarity between query q "nuclear energy and document d4. The collection has the following documents Gidf should be based on only these documents): d1 -"energy drinks" d2 "solar energy generation d3-muclear plant physics d4-"energy of a nuclear weapan of and a should be filtered out as stop words) Fill in the values of A to G wif df Query Vector Document vector D4/query Terms energy nuclear Cosine similarity: Type your answers here A: B: D: G: Compute the tr-idf weighted cosine similarity between query q "nuclear energy and document d4. The collection has the following documents Gidf should be based on only these documents): d1 -"energy drinks" d2 "solar energy generation d3-muclear plant physics d4-"energy of a nuclear weapan of and a should be filtered out as stop words) Fill in the values of A to G wif df Query Vector Document vector D4/query Terms energy nuclear Cosine similarity: Type your answers here A: B: D: G
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