程序代写 IFN647 Tutorial (Week 6): IR models – cscodehelp代写
IFN647 Tutorial (Week 6): IR models
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Task 1. TF-IDF is the product of two statistics, term frequency and inverse document frequency, to measure the weight of a term’s appearance in a document. Various ways for determining the exact values of both statistics exist.
Discuss the following recommended tf*idf weighting schemes and the one we discussed in lecture notes.
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Task 2. Manually calculate the df value for each term in the following table.
D1 D2 D3 D4 D5 D6
term1 term2 term3 term4 term5
3 0 0 5 7 5 3 4 6 0 0 0 5 4 6
0 1 0 3 2 3 0 2 4 4
Task 3. Design a python function c_df(docs) to calculate df value for each term in docs to verify if you can get the same result as you did in Task 2. The function returns a {term:df, …} dictionary. In your program, you can represent the above table as follows when you use it to test your python function.
docs = {‘D1’:{‘term1’:3, ‘term4’:5, ‘term5′:7},’D2’:{‘term1’:5, ‘term2’:3, ‘term3’:4, ‘term4’:6}, ‘D3’:{‘term3’:5, ‘term4’:4, ‘term5’:6}, ‘D4’:{‘term1’:9, ‘term4’:1, ‘term5’:2}, ‘D5’:{‘term2’:1, ‘term4’:3, ‘term5′:2},’D6’:{‘term1’:3, ‘term3’:2, ‘term4’:4, ‘term5’:4}}
Task 4. Let Q = {US, ECONOM, ESPIONAG} be a query, and
C = {D1, D2, D3, D4, D5, D6, D7} be a collection of documents, where
D1 = {GERMAN, VW}
D2 = {US, US, ECONOM, SPY}
D3 = {US, BILL, ECONOM, ESPIONAG}
D4 = {US, ECONOM, ESPIONAG, BILL}
D5 = {GERMAN, MAN, VW, ESPIONAG}
D6 = {GERMAN, GERMAN, MAN, VW, SPY} D7 = {US, MAN, VW}
Assume relevant and non-relevant documents (user feedback) are labeled as follows:
Document ID
D1 D2 D3 D4 D5 D6 D7
Terms: dij
GERMAN, VW
US, US, ECONOM, SPY
US, BILL, ECONOM, ESPIONAG
US, ECONOM, ESPIONAG, BILL GERMAN, MAN, VW, ESPIONAG GERMAN, GERMAN, MAN, VW, SPY US, MAN, VW
Relevance to Q 0 no
1 yes 0 no 0 no 0 no
For a given incoming document D = {US, VW, ESPIONAG}, let term 1 = ‘US’, term 2 = ‘VW’ and term 3 = ‘ESPIONAG’. Based on binary independence model, work out the missing values for the following contingency tables, where di = 1 if term i is present in the document, and 0 otherwise.
d1 = 1 ri = 3 d1 = 0 R- ri = 0 Total R= 3
Non-relevant
ni-ri= 1 (N-R)-( ni -ri) = N- ni –R +ri = 3 N-R= 4
Non-relevant
N-ni –R+ri= N-R =
Non-relevant
N-ni –R+ri= N-R =
ni=4 N- ni = 3 N=7
ni= N-ni= N=
ni= N-ni= N=
d2 = 1 d2 = 0 Total
d3 = 1 d3 = 0 Total
ri = R-ri = R=
ri = R-ri = R=
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