Exemple #1
0
def tfidf(t, d, D):
    return ntf(t, d) * idf(t, D)
Exemple #2
0
    W = dict()
    # IDFS = dict()
    D_ = sorted(D.keys())
    # print D
    print ["TERM"] + [d for d in D_]
    for term in W_:
        # W[term] = dict()
        temp = [term]
        # IDFS[term] = idf(term, D)

        for di in D_:
            if not di in inmutfable[term]:
                temp.append(0)
            else:
                t = inmutfable[term][di]
                temp.append(ntf(t, di, W=inmutfable, D=D) * idf(term, D))

        print temp
        # for di in inmutfable[term]:
        # t = inmutfable[term][di]
        # print inmutfable[term][di]
        # W[term][di] = ntf(t, di, W=inmutfable, D=D) * idf(term, D)

    # matrixtfidf = [["TERM"] + [d for d in D_]]
##    print ["TERM"] + [d for d in D_]
#    for t in W_:
#        temp = [w]
#        for di in D_:
#            if not di in W[w]:
#                temp.append(0)
#                continue