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Inverted Index Construction Slide 10: sllae 11
ide 13 : - Multiple term entries in a single document are merged. - Frequency information is
added.
4. Read the Sorted_Table from Step3 to Aggregate the Frequency by Term and Doc_Year to
Write to an Index Table TermLookUpTable with its Frequency (Word Count) as Shown in Slide
13 with: TermLookUpTable (Term, Doc_Year, Term_Freq) Slide 13: Automatic Table Creation:
At the end of each step, create each intermediate table and the final Index Table named
"TermLookUpTable" in your SQL Server from your output in each step with the given schema.
You can write a Stored Procedure and/or Table Function for automatic table creation. Show each
table content in each step in your Lab report in screenshot. For Part1, You can use (modify) any
"word Count" Program (Various versions of Word Count program for text processing are
available on line). You can use any program/script language to write. You don't need to use
Stored Procedure with Table Function if you create the final Index Table TermLookUpTable in
SQL Server from your program.
Execution Steps of Building the Inverted Index is shown as below: Execution Steps to Build
Inverted Index Sunie Cung Lecture_Notes 4 Write a Process in any language of your choice for
text processing of the log file: UnionAddressTable.csv to create an Inverted Index Table for
Term Frequency Look Up with the following Steps shown in Slide 1013 in Inverted Index
lecture note. 1. Import the Input File (CSV file) UnionAddressTable to create a table in RDBMS.
The input file UnionAddressTable.csv is given on the class webpage. 2. Reads
UnionAddressTable to Parse to Create an Intermediate Table as Shown Slide 11 in Inverted
Index Lecture. Slide 11: For each record, read the whole text of the Union Address (in the last
Column of the input file), parse each line of the text to extract each unique term (word) and it's
Year of the Union Address (Column 2 in the input file-use this column as Doc#) then write them
to an Intermediate Table Named TermList_Table with two column info as shown in Slide 11.
Whenever a word is read, just append it to the end of the index table with term, Frequency of 1,
and Doc_Year whether it is a duplicate or not. 3. Read TermList_Table from step 2 to Sort by
Term and Doc_Year and write them to an Intermediate Table Named Sorted_Table with 2
Columns as Shown in Slide12 Slide 12:

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Inverted Index Construction Slide 10 sllae 11ide 13 .pdf

  • 1. Inverted Index Construction Slide 10: sllae 11 ide 13 : - Multiple term entries in a single document are merged. - Frequency information is added. 4. Read the Sorted_Table from Step3 to Aggregate the Frequency by Term and Doc_Year to Write to an Index Table TermLookUpTable with its Frequency (Word Count) as Shown in Slide 13 with: TermLookUpTable (Term, Doc_Year, Term_Freq) Slide 13: Automatic Table Creation: At the end of each step, create each intermediate table and the final Index Table named "TermLookUpTable" in your SQL Server from your output in each step with the given schema. You can write a Stored Procedure and/or Table Function for automatic table creation. Show each table content in each step in your Lab report in screenshot. For Part1, You can use (modify) any "word Count" Program (Various versions of Word Count program for text processing are available on line). You can use any program/script language to write. You don't need to use Stored Procedure with Table Function if you create the final Index Table TermLookUpTable in SQL Server from your program. Execution Steps of Building the Inverted Index is shown as below: Execution Steps to Build Inverted Index Sunie Cung Lecture_Notes 4 Write a Process in any language of your choice for text processing of the log file: UnionAddressTable.csv to create an Inverted Index Table for Term Frequency Look Up with the following Steps shown in Slide 1013 in Inverted Index lecture note. 1. Import the Input File (CSV file) UnionAddressTable to create a table in RDBMS. The input file UnionAddressTable.csv is given on the class webpage. 2. Reads UnionAddressTable to Parse to Create an Intermediate Table as Shown Slide 11 in Inverted Index Lecture. Slide 11: For each record, read the whole text of the Union Address (in the last Column of the input file), parse each line of the text to extract each unique term (word) and it's Year of the Union Address (Column 2 in the input file-use this column as Doc#) then write them to an Intermediate Table Named TermList_Table with two column info as shown in Slide 11. Whenever a word is read, just append it to the end of the index table with term, Frequency of 1,
  • 2. and Doc_Year whether it is a duplicate or not. 3. Read TermList_Table from step 2 to Sort by Term and Doc_Year and write them to an Intermediate Table Named Sorted_Table with 2 Columns as Shown in Slide12 Slide 12: