Feedback collection and annotation in LangChain - Mini Project: Build & Apply

Feedback Collection and Annotation

📖 Scenario: You are building a simple feedback system for a website. Users submit feedback messages, and you want to store these messages along with a label that describes the sentiment of the feedback (positive, neutral, or negative).This system will help the website team quickly understand user opinions and improve the site.

🎯 Goal: Create a small database structure to store user feedback messages and their sentiment labels. Then, write code to add new feedback entries and annotate each with a sentiment label.

📋 What You'll Learn

Create a dictionary called feedback_db to store feedback messages as keys and their sentiment labels as values.

Create a variable called new_feedback with the exact string: 'The website is very easy to use'.

Add a new entry to feedback_db using new_feedback as the key and 'positive' as the value.

Add a final entry to feedback_db with the key 'The site is slow' and the value 'negative'.

💡 Why This Matters

🌍 Real World

Collecting and labeling user feedback helps businesses understand customer satisfaction and improve their products or services.

💼 Career

Database skills for storing and managing user-generated content are essential for roles in data analysis, product management, and software development.

1

Create the initial feedback database

Create a dictionary called feedback_db with these exact entries: 'Great service': 'positive', 'Could be better': 'neutral', and 'Not satisfied': 'negative'.

LangChain

# Create the feedback_db dictionary with the given entries
# Your code here

Need a hint?

Use curly braces {} to create a dictionary. Each entry should have the feedback message as the key and the sentiment label as the value.

2

Add a new feedback message variable

Create a variable called new_feedback and assign it the string 'The website is very easy to use'.

LangChain

feedback_db = {
    'Great service': 'positive',
    'Could be better': 'neutral',
    'Not satisfied': 'negative'
}
# Create the new_feedback variable with the exact string
# Your code here

Need a hint?

Use the assignment operator = to assign the string to the variable.

3

Add the new feedback to the database

Add a new entry to feedback_db using new_feedback as the key and 'positive' as the value.

LangChain

feedback_db = {
    'Great service': 'positive',
    'Could be better': 'neutral',
    'Not satisfied': 'negative'
}
new_feedback = 'The website is very easy to use'
# Add new_feedback to feedback_db with value 'positive'
# Your code here

Need a hint?

Use square brackets [] to add a new key-value pair to the dictionary.

4

Add a final feedback entry

Add a new entry to feedback_db with the key 'The site is slow' and the value 'negative'.

LangChain

feedback_db = {
    'Great service': 'positive',
    'Could be better': 'neutral',
    'Not satisfied': 'negative'
}
new_feedback = 'The website is very easy to use'
feedback_db[new_feedback] = 'positive'
# Add the final feedback entry with key 'The site is slow' and value 'negative'
# Your code here

Need a hint?

Use the dictionary key assignment syntax to add the new entry.