Module 4: Advanced Text Analysis

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Questions and Answers

What does the term 'parsing' refer to in the context of text analysis?

  • Representing documents and corpus using vectors
  • Creating a structure for the unstructured/semi-structured text (correct)
  • Counting the number of distinct terms in a document
  • Measuring the relevance of search results

Why is text analysis considered a high-dimensionality problem?

  • The number of documents analyzed is high
  • Text analysis requires advanced machine learning algorithms
  • Every term in a document is represented as a dimension (correct)
  • The methods used involve complex mathematical calculations

How is the quality of search results typically measured in text analysis?

  • Vector space model representation
  • Regular expressions
  • Term frequency and inverse document frequency
  • Precision and recall (correct)

In text analysis, what does TF-IDF stand for?

<p>Term Frequency-Inverse Document Frequency (D)</p> Signup and view all the answers

What is one of the main purposes of using regular expressions in parsing text?

<p>Structuring the unstructured/semi-structured text (A)</p> Signup and view all the answers

When analyzing textual features, why does every distinct term represent a dimension?

<p>To create a high-dimensional representation of the text (D)</p> Signup and view all the answers

What is the primary purpose of using regular expressions (regex) in text analysis?

<p>To find specific words or patterns in text (A)</p> Signup and view all the answers

What is the purpose of the '$' symbol in a regular expression?

<p>It matches the end of a line (B)</p> Signup and view all the answers

Which of the following is NOT a common step in converting text into a vector representation?

<p>Applying principal component analysis (A)</p> Signup and view all the answers

In the 'bag of words' model, how are words without repetition represented?

<p>As a list of unique words (B)</p> Signup and view all the answers

What is the purpose of the '*' wildcard in a regular expression?

<p>It matches zero or more occurrences of the preceding character or group (A)</p> Signup and view all the answers

What is the main advantage of the 'vector space model' for representing text data?

<p>It enables easy calculation of text similarity using vector operations (A)</p> Signup and view all the answers

What does text pre-processing do to make the dataset more manageable?

<p>Removes stop words, inflexions, and sparse representations (A)</p> Signup and view all the answers

What is one of the techniques used to extract features from textual data?

<p>Finding the unique words in a document (C)</p> Signup and view all the answers

Which step involves dividing text data into smaller units like words and phrases?

<p>Tokenization (C)</p> Signup and view all the answers

What is the purpose of stemming and lemmatization in text processing?

<p>To derive the root form of words (D)</p> Signup and view all the answers

Why are stop words typically removed during text processing?

<p>Stop words often introduce noise to the analysis (A)</p> Signup and view all the answers

What type of modeling is topic modeling, based on the given text?

<p>Unsupervised Machine Learning (A)</p> Signup and view all the answers

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