Query: wink AND drink means:
Anonymous Quiz
33%
Union of lists
56%
Intersection of lists
11%
Subtract lists
0%
Nothing
What distinguishes positional index from normal index?
Anonymous Quiz
63%
Stores word positions
38%
Smaller size
0%
Always faster
0%
No difference
Purpose of positional index?
Anonymous Quiz
100%
Support phrase and proximity queries
0%
Reduce storage
0%
Compress text
0%
No use
Drawback of positional index?
Anonymous Quiz
30%
Large size
10%
Always slow
30%
Inaccurate
30%
Complicated
Query NEAR/3 means:
Anonymous Quiz
70%
Two words within 3 words of each other
10%
Two words within 3 documents
20%
Two words within 3 seconds
0%
Two identical words
Purpose of stop words removal?
Anonymous Quiz
100%
Reduce size and focus on important terms
0%
Increase frequency
0%
Improve translation
0%
Compress text
Which words are often stop words?
Anonymous Quiz
89%
the, a, is
0%
computer
0%
algorithm
11%
database
When should stop words not be removed?
Anonymous Quiz
89%
In phrases like to be or not to be
0%
Scientific texts
11%
Data compression
0%
Using images
What is normalization?
Anonymous Quiz
90%
Making different forms of a word similar
0%
Removing short words
0%
Alphabetical ordering
10%
Text compression
What is case folding?
Anonymous Quiz
100%
Convert all letters to lowercase
0%
Capitalize letters
0%
Remove letters
0%
Keep original
Drawback of case folding?
Anonymous Quiz
90%
Lose distinction between Black and black
0%
Increase size
10%
Hard to read
0%
System slowdown
What is stemming?
Anonymous Quiz
80%
Reducing a word to its root
20%
Deleting it
0%
Splitting text
0%
Translating
Most famous stemming algorithm for English:
Anonymous Quiz
73%
Porter Stemmer
27%
RSA
0%
Huffman
0%
Soundex
How does Porter Stemmer work?
Anonymous Quiz
64%
Remove suffixes based on rules
18%
Using a dictionary
18%
Using AI
0%
Translation
Purpose of stemming in retrieval?
Anonymous Quiz
50%
Increase recall
20%
Increase precision only
30%
Reduce data size
0%
No use
Difference between lemmatization and stemming?
Anonymous Quiz
73%
Lemmatization uses dictionary; stemming uses rules
9%
Opposite
9%
No difference
9%
Both delete
Why is stemming important for morphologically rich languages like Arabic?
Anonymous Quiz
55%
Significantly improves recall
27%
Reduces storage only
9%
Increases precision only
9%
No effect
Which represents correct preprocessing steps?
Anonymous Quiz
72%
Tokenization → Stop Words Removal → Stemming
17%
Stemming → Stop Words → Tokenization
6%
Normalization → Stemming → Translation
6%
Case Folding → Compression
❤1
What is the correct definition of Precision?
Anonymous Quiz
50%
The fraction of relevant documents that were retrieved
17%
The fraction of retrieved documents that are relevant
17%
The total number of relevant documents retrieved
17%
The ratio of relevant documents to the collection size
What does a perfect Recall score of 1.0 indicate?
Anonymous Quiz
29%
No irrelevant documents were retrieved
29%
Every retrieved document is relevant
14%
All relevant documents were retrieved
29%
The system retrieved all documents in the collection
Which component is essential for the Cranfield evaluation paradigm?
Anonymous Quiz
55%
Real-time user feedback
36%
A set of relevance judgments
0%
Social media data
9%
Mobile app interface