Webclass 91: Do you wonder how much fraud goes on through email exchanges?

Q1. If you saw in an email the sentence: “in order to be able to transfer money back to the head-office, we will use the 3-Bridges construction company that is owned by the daughter of the owner”… what type of fraud case might that indicate?

Anti-Money Laundering

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Unauthorized sales commissions

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Q2. Why might the purchasing department advise the supplier to reduce the quality but keep the cost the same?

So that your purchasing staff can cut a deal on a kickback with the supplier

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So that the supplier can work more quickly

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Q3. If someone is sharing information on a closed-envelope Call For Tender, this would be…

Bid rigging

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Financial statement fraud

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Q4. What is the main fraud risk for distributor networks in fast moving consumer goods?

Fraudulent sales reporting in order to increase commissions

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Fraudulent reporting on expenses

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Q5. Why might your purchasing department advise the supplier to put-up the price?

So that they can organize a kickback for the favour

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So that the supplier can deliver a better service

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Q6. What is a .PST file?

It is the file that microsoft outlook stores emails in

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It is a text delimited flat-file

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Q7. Which library did we use in the webclass to read the PST files in order to extract data into a flat-file format?

Libpff-python

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Numpy

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Q8. Why do we need to locate the root of the PST file?

So that we can then loop through all the subfolders from the email system and get all the messages from each subfolder

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So that we can convert the root to a tab-delimited text file

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Q9. What is the name of the object that stores the email information?

message

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message_data

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Q10. Which function from the pypff-python library gives us the email subject?

get_subject()

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subject:

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Q11. Why might we want to use a word cloud?

To see which words appear the most often in the emails

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To see which words are the most fraudulent

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Q12. Which python library helps us to be able to convert a paragraph into a list of words and also into a list of sentences?

nltk

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pyQt5

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Q13. How many lines of code to we need to create a wordcloud in python, if we already have a list of words?

8 lines

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113 lines

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Q14. What does the word_tokenize package of the nltk library do for us?

Converts the paragraph of words into a list of words

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Removes the words that are not very interesting

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Q15. What does the stopwords package of the nltk library do for us?

Removes the words that are not very interesting

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Converts the paragraph of words into a list of words

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Q16. Was the getSentence function from a standard python package or did we create it?

We created it

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It was from the nltk library

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Q17. Which package helps us to convert a paragraph into a list of sentences?

punkt

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stopwords

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Q18. Did the word cloud in QLIK allow us to filter on a word?

No

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Yes

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Q19. Did the word cloud in python allow us to filter on a word?

Yes

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No

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Webclass 91: Do you wonder how much fraud goes on through email exchanges?

Webclass 91: Do you wonder how much fraud goes on through email exchanges?

admin June 9, 2026

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