In python!'''Remember to create dictionaries for the words and their weights i.e.happiness_list ={"accomplish": 3, "friend": 3, ...} '''''' Define function sadness_score '''''' Define function happiness_score ''' Learning Objectives1. Create a function in a modular structure2. Use a dictionary to calculate score3. Loop over the input string and the dictionary words4. Print analysis of the given inputInstructionsThis lab is the same as the Extract My Emotion :) :( - Lists-tuples lab but this time you will use dictionaries instead of listsand tuples.A very known application in natural language processing is to extract information from a given text. In this lab, you will be able to extractsome emotions (Sad and Happy) from a given string and calculate the score of each emotion. You will be given below the words thatexpress sadness, anger, and happiness. For each word, you will be given weight as well, so that when you are calculating for example thescore for sadness in the text (string), you can use this formula:Sadness ScoreWeight_1+ Weight 3 +Weight_4 +......%3DSadness WordsWordWeightWordWeightWordWeight Word Weightabandon2ashamed4awful4badhard3belittle3betray5crash4crazy2cry3disappoint3death5Happiness WordsWordWeightWordWeight Word WeightWordWeightaccomplish3friend3beach4beautiful5dawn4adorable3enjoy5celebrate4cheer3bless4baby3angel5LOLO 1. Create the functions sadness_score, and happiness_score2. Each function has only 1 parameter of type string: text3. In each function, create a dictionary for the words and their weights i.e in happiness_score function you should have{ "accomplish" : 3, ....} where the key is the word and the score is the value.happiness_dictionary4. Loop over the tuples and check if the word is in the given text. If the word is found, increment the resulting score by the currentscore, otherwise do nothing5. Return the final scoreExampleInput: "This lab is driving me crazy. I want to accomplish moreso I won't feel bad at the end of theday"Return from sadness_score function: 7Return from happiness_score function: 3Hint!• do not calculate the number of words in the text. The sentence "I am so bad" and "I am so bad bad bad" should return thesame score for this lab, though in the real world it is not always so.

pirate = {}pirate['sir'] = 'matey'pirate['hotel'] = 'fleabag inn'pirate['student'] =…

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 dictionary for the words and their weights i.e in happiness_score function you should have happiness_dictionary = { "accomplish" : 3, ....} where the key is the word and the score is the value.

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 dictionary for the words and their weights i.e in happiness_score function you should have happiness_dictionary = { "accomplish" : 3, ....} where the key is the word and the score is the value.

C++ Programming: From Problem Analysis to Program Design

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ISBN:9781337102087

Author:D. S. Malik

Publisher:D. S. Malik

Chapter15: Recursion

Section: Chapter Questions

Problem 6PE

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Concept explainers

Introduction to Template

A template in C++ programming helps to pass data type as a parameter to make the code reusable. The goal is to write a generic code that can be reused for specific types depending upon the need.

Question

In python!

'''Remember to create dictionaries for the words and their weights
i.e.happiness_list ={"accomplish": 3, "friend": 3, ...}
'''

''' Define function sadness_score '''

''' Define function happiness_score '''

Learning Objectives
1. Create a function in a modular structure
2. Use a dictionary to calculate score
3. Loop over the input string and the dictionary words
4. Print analysis of the given input
Instructions
This lab is the same as the Extract My Emotion :) :( - Lists-tuples lab but this time you will use dictionaries instead of lists
and tuples.
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 +......
%3D
Sadness Words
Word
Weight
Word
Weight
Word
Weight Word Weight
abandon
2
ashamed
4
awful
4
bad
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
LO
LO

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 dictionary for the words and their weights i.e in happiness_score function you should have
{ "accomplish" : 3, ....} where the key is the word and the score is the value.
happiness_dictionary
4. Loop over the tuples and check if the word is in the given text. If the word is found, increment the resulting score by the current
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
Hint!
• do not calculate the number of words in the text. The sentence "I am so bad" and "I am so bad bad bad" should return the
same score for this lab, though in the real world it is not always so.

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