Enhancing-Co-Parenting-Communication-An-NLP-Analysis-of-Our-Family-Wizard-Messages

Introduction

This project analyzes communication patterns between co-parents using the Our Family Wizard app. The goal is to provide actionable insights to improve collaboration for the benefit of children.

Objectives

• Explore response rates and timeliness patterns.
• Analyze weekday vs. weekend communication rhythms.
• Provide constructive insights for better co-parent collaboration.

Techniques Used

• Natural Language Processing (NLP)
• Statistical Analysis
• Sentiment Analysis
• Visualization

Data Preprocessing

Steps for data extraction and cleaning:

1. Extracted text data from PDF to CSV format.
2. Cleaned and standardized the data.
3. Applied subjective labeling for questions and answers.

Exploratory Data Analysis

• Summary statistics on message counts and response times.
• Visual trend analysis of response times and message frequency.
• Sentiment analysis to categorize messages.

Statistical Analysis

Conducted hypothesis testing on response rates and times to uncover significant patterns.

Clustering

Applied K-means clustering to identify themes in message content.

Conclusion

Summarized key findings and provided recommendations for improving co-parent communication.

Note

The actual data and specific results are confidential and not included in this repository.