How to calculate word frequency dashboard

hi
I have a column called "Post". This column is filled by some big big paragraphs. Now I have some key words and I want to count these words in those paragraphs.
Example --
<
Post
SAP
Data
Total
SAP SE (Systems, Applications & Products in
Data Processing) is a German multinational
software corporation that
makes enterprise software to manage business
operations and customer relations. SAP is headquartered in Walldorf, Baden-Württemberg, Germany, with regional offices in 130
countries.The company has over 282,000 customers in 190 countries.
2
4.26
1
2.13
47
Please tell me hpw do i do this kind of analysis?

Hi Indrajit,
you can calculate the occurance of a word using the following formula.
=(LEN(B4)-LEN(SUBSTITUTE(B4,C4,"")))/LEN(C4)

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If the above was useful please assign reward points.
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Best way to implement a word frequency counter (input = textfile)?

i had this for an interview question and basically came up with the solution where you use a hash table...
//create hash table
//bufferedreader
//read file in,
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//then loop and read out all the hash table entries
===skip this stuff if you dont feel like reading too much
then the interviewer proceeded to grill me on why i shouldn't use a tree or any other data structure for that matter... i was kidna stumped on that.
also he asked me what happens if the number of words exceed the capacity of the hash table? i said you can increase the capacity of the hash table, but it doesn't sound too efficient and im not sure how much you know how to increase it by. i had some ok solutions:
1. read the file thru once, and get the number of words in the file, set the hashtable capacity to that number
2. do #1, but run anotehr alogrithm that will figure out distinct # of words
3. separate chaining
===
anyhow what kind of answeres/algorithms would you guys have come up with? thanks in advance.

i had this for an interview question and basically
came up with the solution where you use a hash
table...
//create hash table
//bufferedreader
//read file in,
//for each word encountered, create an object thatWell, first you need to check to make sure the word is not already in the hashtable, right? And if it is there, you need to increment the count.
has (String word, int count) and push into hash
table
//then loop and read out all the hash table entries
===skip this stuff if you dont feel like reading too
much
then the interviewer proceeded to grill me on why i
shouldn't use a tree or any other data structure for
that matter... i was kidna stumped on that.A hashtable has ammortized O(1) time for insert and search. A balanced binary search tree has O(log n) complexity for the same operations. So, a hashtable will be faster for large number of words. The other option is a so-called "trie" (google for more), which has O(log m) complexity, where m is the length of the longest word. So if your words aren't too long, a trie may be just as fast as a hashtable. The trie may also use less memory than the hashtable.
also he asked me what happens if the number of words
exceed the capacity of the hash table? i said you can
increase the capacity of the hash table, but it
doesn't sound too efficient and im not sure how much
you know how to increase it by. i had some ok
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===
anyhow what kind of answeres/algorithms would you
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2    (doc_id       number primary key,
3      document varchar2(100))
4 /
Table created.
SCOTT@10gXE> insert all
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5 select * from dual
6 /
3 rows created.
SCOTT@10gXE> create index otntest_ctx_idx
2 on otntest(document)
3 indextype is ctxsys.context
4 /
Index created.
SCOTT@10gXE> column token_text format a30
SCOTT@10gXE> select t.doc_id, i.token_text, score (1) as token_count
2 from   otntest t,
3          (select distinct token_text
4           from   dr$otntest_ctx_idx$i) i
5           where contains
6                 (document,
7                  '<query>
8                  <textquery grammar="CONTEXT">'
9                  || i.token_text ||
10                  '</textquery>
11                  <score datatype="INTEGER" algorithm="COUNT"/>
12                  </query>',
13                  1) > 0
14 order by doc_id, token_text
15 /
    DOC_ID TOKEN_TEXT                     TOKEN_COUNT
         1 GENERATING                               1
         1 HISTOGRAM                                1
         1 TEST                                     1
         2 CONTAIN                                  1
         2 DOCUMENTS                                1
         2 FREQUENCY                                1
         2 HISTOGRAM                                1
         2 LIST                                     1
         2 SHOWS                                    1
         2 TOKEN                                    1
         3 FREQUENCY                                3
         3 HISTOGRAM                                2
12 rows selected.
SCOTT@10gXE>

Help in word frequency program for .doc files

hi,,
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i have implemented a prog to find word frequency of .txt files,
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Hi,
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http://poi.apache.org/
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