Unstructured Data Classification - Quiz

Identify the unstructured data from the following.

  • AExcel data
  • BData from mySQL DB
  • CImage

What kind of classification is our case study 'Spam Detection'?

  • ABinary
  • BMulti label
  • CMulti class

Can we consider sentiment classification as a text classification problem?

  • AYes
  • BNo

The following are all classification techniques, except ___________

  • ARandom Forest
  • BSGDClassifier
  • CSVM
  • DStratifiedShuffleSplit

In a Document Term Matrix (DTM), each row represents ___________

  • Adocument
  • BTF value
  • Cword
  • DTF-IDF value

What is the purpose of lemmatization?

  • ATo split into sentences
  • BTo convert words into a proper base form
  • CTo remove redundant words
  • DTo convert a sentence into words

Clustering is supervised classification.

  • ATrue
  • BFalse

Choose the correct sequence from the following.

  • AData Analysis -> Pre-Processing -> Model Building -> Predict
  • BPre-Processing -> Model Building -> Predict
  • CPre-Processing -> Predict -> Train
  • DData Analysis -> Pre-Processing -> Predict -> Train

Email spam data is an example of __________

  • AUnstructured data
  • BStructured data


 a) Download the dataset from  https://hrcdn.net/s3_pub/istreet-assets/H4_TQkbOj39HUNoBukluIQ/training.txt  and load it to the variable 'sentiment_analysis_data'.
 b) Give the column names as 'label' and 'message'.
 c) Try out the code snippets and answer the questions.
What kind of classification is the given case study (Sentiment Analysis dataset)?

  • AMulti class classification
  • BBinary classification
  • CMulti label classification

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