Use the document frequency matrix below and the weight

1 + log(tf) only for both the query and the documents ( do not use the spread log(Ni) factor)

the first query = (affection) = q1

the second query= ( jealous ,gossip)= q2

SHOW that the ordering of the scores s(d1,q), s(d2,q), s(d3,q) reverses

itself from query1 to query 2.

For example, if it turns out that s(q1,d1)>s(q1,d2)>s(q1,d3)

then when you derive vector similarity for the second query then,

s(q2,d3)>s(q2,d2)>s(q2,d1)

term SaS PaPWH affection 1155820 jealous 10 7 11 2 0 6 gossip term SaS PaPWH affection 1155820 jealous 10 7 11 2 0 6 gossip