Instructions A very known application in natural language processing is to extract information from a given text. In this lab, you will be able to extract some emotions (Sad and Happy) from a given string and calculate the score of each emotion. You will be given below the words that express sadness, anger, and happiness. For each word, you will be given weight as well, so that when you are calculating for example the score for sadness in the text (string), you can use this formula: Sadness_Score = Weight_1 + Weight_3 +Weight_4 Sadness Words Word Weight Word Weight Word Weight Word Weight abandon 2 ashamed awful 4 bad 5 hard 3 belittle 3 betray 5 crash 4 crazy cry 3 disappoint 3 death 5 Happiness Words Word Weight Word Weight Word Weight Word Weight accomplish friend 3 beach beautiful dawn 4 adorable 3 enjoy 5 celebrate 4. cheer 3 bless 4 baby 3 angel 5 1. Create the functions sadness_score, and happiness_score 2. Each function has only 1 parameter of type string: text 3. In each function, create a list of tuples for the words and their weights i.e in happiness_score you should have happiness_list = [ ("accomplish, 3), ....] 4. Loop over the tuples and check if the word is in the given text. If the word is found, increment the result by words score, otherwise do nothing 5. Return the final score Example Input: "This lab is driving me crazy. I want to accomplish more so I won't feel bad at the end of the day" Return from sadness_score function: 7 Return from happiness_score function: 3 3. 2.

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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A very known application in natural language processing is to extract information from a given text. In this lab, you will be able to extract some emotions (Sad and Happy) from a given string and calculate the score of each emotion. You will be given below the words that express sadness, anger, and happiness. For each word, you will be given weight as well, so that when you are calculating for example the score for sadness in the text (string), you can use this formula:

Instructions
A very known application in natural language processing is to extract information from a given text. In this lab, you will be able to extract
some emotions (Sad and Happy) from a given string and calculate the score of each emotion. You will be given below the words that
express sadness, anger, and happiness. For each word, you will be given weight as well, so that when you are calculating for example the
score for sadness in the text (string), you can use this formula:
Sadness_Score = Weight_1 + Weight_3 +Weight_4
....
Sadness Words
Word
Weight
Word
Weight
Word
Weight Word Weight
abandon
2
ashamed
awful
4
bad
5
hard
3
belittle
3
betray
5
crash
4.
crazy
2
cry
3
disappoint
3
death
5
Happiness Words
Word
Weight
Word
Weight Word Weight
Word
Weight
accomplish
3
friend
3
beach
4
beautiful
5
dawn
4
adorable
3
enjoy
5
celebrate
4
cheer
3
bless
4.
baby
3
angel
5
1. Create the functions sadness_score, and happiness_score
2. Each function has only 1 parameter of type string: text
3. In each function, create a list of tuples for the words and their weights i.e in happiness_score you should have happiness_list
[ ("accomplish, 3), ....]
4. Loop over the tuples and check if the word is in the given text. If the word is found, increment the result by words score, otherwise do
nothing
5. Return the final score
Example
Input: "This lab is driving me crazy. I want to accomplish more so I won't feel bad at the end of the day"
Return from sadness_score function: 7
Return from happiness_score function: 3

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