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4c) What techniques might you use to deal with typographic errors in search queries? Suggest
one method based on distributional techniques and another based on a more rule-based or
algorithmic approach. Question 4 (a) A sentiment analyzer that predicts if a product review is
positive, negative or neutral produces the following confusion matrix: Calculate the following:
(i) Precision and recall for each class [6] (ii) Micro average precision and macro average
precision. Why do they differ? [4] (iii) F measure for each class [6] (b) You are designing a text
classifier to identify fraudulent insurance claims and your initial prototype returns an accuracy of
97%. Why might this figure be misleading? Suggest two strategies for dealing with this situation
[5] (c) What techniques might you use to deal with typographic errors in search queries? Suggest
one method based on distributional techniques and another based on a more rule-based or
algorithmic approach. [4] (d) Describe or draw the correct parse tree for the most natural
interpretation of the following English sentence: 'She took the lesson to heart'.[5]

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  • 1. 4c) What techniques might you use to deal with typographic errors in search queries? Suggest one method based on distributional techniques and another based on a more rule-based or algorithmic approach. Question 4 (a) A sentiment analyzer that predicts if a product review is positive, negative or neutral produces the following confusion matrix: Calculate the following: (i) Precision and recall for each class [6] (ii) Micro average precision and macro average precision. Why do they differ? [4] (iii) F measure for each class [6] (b) You are designing a text classifier to identify fraudulent insurance claims and your initial prototype returns an accuracy of 97%. Why might this figure be misleading? Suggest two strategies for dealing with this situation [5] (c) What techniques might you use to deal with typographic errors in search queries? Suggest one method based on distributional techniques and another based on a more rule-based or algorithmic approach. [4] (d) Describe or draw the correct parse tree for the most natural interpretation of the following English sentence: 'She took the lesson to heart'.[5]