https://github.com/iliyasalve/tiktok_claim_classification_model

Develop a predictive model for classifying videos with claims to reduce the backlog of user reports and optimize the content moderation process.
https://github.com/iliyasalve/tiktok_claim_classification_model

data-analysis machine-learning python regression-models tiktok

Last synced: 11 days ago
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Develop a predictive model for classifying videos with claims to reduce the backlog of user reports and optimize the content moderation process.

• Host: GitHub
• URL: https://github.com/iliyasalve/tiktok_claim_classification_model
• Owner: iliyasalve
• Created: 2025-01-17T11:18:52.000Z (18 days ago)
• Default Branch: main
• Last Pushed: 2025-01-17T11:24:43.000Z (18 days ago)
• Last Synced: 2025-01-17T12:34:00.946Z (18 days ago)
• Topics: data-analysis, machine-learning, python, regression-models, tiktok
• Language: Jupyter Notebook
• Homepage:
• Size: 1.71 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Claim Classification Model for TikTok

## Description

This project was developed for TikTok with the aim of creating a predictive model capable of determining whether a video contains a claim or expresses an opinion. The main goal of the project is to reduce the number of user reports requiring manual moderation and improve the processing efficiency.

## Goals

- Develop a predictive model for classifying videos with claims;

- Reduce the backlog of user reports;

- Optimize the content moderation process.

## Stages

1. Project Proposal: Planning tasks and PACE strategies;

2. Dataframe Creation: Structuring data for analysis;

3. Data Analysis: Conducting exploratory analysis and visualization;

4. Hypothesis Testing: Determining the optimal method for testing;

5. Regression Model: Developing an appropriate regression model;

6. Final Model: Data processing, model development, and evaluation.

## Implementation

All code is written in Python. The code was developed in the Jupyter Notebook development environment.

## Conclusion

The developed model effectively classifies videos with claims, contributing to the reduction of the user report queue and improving the efficiency of the moderators.