Module 4: Advanced Text Analysis

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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?

Term Frequency-Inverse Document Frequency Signup and view all the answers

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

Structuring the unstructured/semi-structured text Signup and view all the answers

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

To create a high-dimensional representation of the text Signup and view all the answers

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

To find specific words or patterns in text Signup and view all the answers

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

It matches the end of a line Signup and view all the answers

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

Applying principal component analysis Signup and view all the answers

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

As a list of unique words Signup and view all the answers

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

It matches zero or more occurrences of the preceding character or group Signup and view all the answers

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

It enables easy calculation of text similarity using vector operations Signup and view all the answers

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

Removes stop words, inflexions, and sparse representations Signup and view all the answers

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

Finding the unique words in a document Signup and view all the answers

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

Tokenization Signup and view all the answers

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

To derive the root form of words Signup and view all the answers

Why are stop words typically removed during text processing?

Stop words often introduce noise to the analysis Signup and view all the answers

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

Unsupervised Machine Learning Signup and view all the answers