Which ONE of the following fractions is used to define the inverse document frequency (idf) of the term $t$?
The Inverse Document Frequency (IDF) measures how important a term is in a collection of documents. It diminishes the weight of terms that occur very frequently across documents, such as common words ('the', 'is', 'a'), and increases the weight of terms that occur rarely.
Let:
The core component of the IDF calculation involves the ratio of the total documents to the documents containing the term. While IDF is typically calculated using a logarithmic function (e.g., $\log(\frac{N}{d})$ or $\log(\frac{N}{d+1})$ to avoid division by zero if a term doesn't appear), the question asks for the specific fraction used in its definition, representing the inverse relationship between document frequency and importance.
This fraction represents how many documents are 'missed' by the term. A higher value indicates a rarer term.
Based on the definition and common formulas for IDF, the fraction representing the relationship between total documents ($N$) and the documents containing the term ($d$) is:
$ \frac{N}{d} $
Comparing this with the given options:
Therefore, the fraction used to define the inverse document frequency (idf) of the term $t$ is $\frac{N}{d}$.
In an engineering college of 10,000 students, 1,500 like neither their core branches nor other branches. The number of students who like their core branches is 1/4th of the number of students who like other branches. The number of students who like both their core and other branches is 500.
The number of students who like their core branches is
$A$ is an ($n \times n$) matrix. Consider the following two statements
Statement 1: Columns of matrix $A$ are linearly independent
Statement 2: Inverse of matrix $A$ exists
Which one of the following statements is TRUE?