Business Context
An online bookstore wants to optimize their search engine. They need to create a term index from a list of popular book titles to enable an efficient autocomplete feature. The data contains English titles, and the system must handle tokenization correctly for this language.
About the Set : searchAnalytics
Data indexing and search functionalities.
Discover all actions of searchAnalytics Data Preparation
Creation of a dataset containing popular book titles.
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| 1 | DATA casuser.books; LENGTH title $ 100; INFILE DATALINES dsd; INPUT title $; DATALINES; |
| 2 | The Great Gatsby |
| 3 | Introduction to Algorithms |
| 4 | Clean Code |
| 5 | DATA Science for Business |
| 6 | The Pragmatic Programmer |
| 7 | ; RUN; |
Étapes de réalisation
1
Load the book titles into a CAS table.
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| 1 | /* Data loaded in data_prep step */ |
2
Build the term index for the 'title' column using English language settings and forced tokenization.
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| 1 | PROC CAS; |
| 2 | searchAnalytics.buildTermIndex / |
| 3 | TABLE={name='books'} |
| 4 | casOut={name='book_index', replace=true} |
| 5 | fields={'title'} |
| 6 | tokenize=true |
| 7 | language='ENGLISH'; |
| 8 | RUN; |
Expected Result
The 'book_index' table is successfully created. It contains individual terms from the book titles (e.g., 'Gatsby', 'Algorithms', 'Science'), tokenized according to English linguistic rules.