# WLXie-Tony/Movie\_Review\_Analysis

<https://repo.masters-masters.com/en/repos/WLXie-Tony/Movie_Review_Analysis>

[Home](https://repo.masters-masters.com/en) › [WLXie-Tony](https://repo.masters-masters.com/en/owners/WLXie-Tony) › [Movie\_Review\_Analysis](https://repo.masters-masters.com/en/repos/WLXie-Tony/Movie_Review_Analysis)

WLXie-Tony/Movie\_Review\_Analysis has 235 stars on GitHub. Its RepoMasters card: Prototype tier. Official replication package for IJFE (2026). Asynchronous ETL…

| Field | Value |
| --- | --- |
| Owner | [WLXie-Tony](https://repo.masters-masters.com/en/owners/WLXie-Tony) |
| Stars | 235 |
| Forks | 0 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2024 |
| Topics | movie-reviews, natural-language-processing, sentiment-analysis, text-mining, web-scraping-python |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [WLXie-Tony/Movie\_Review\_Analysis](https://github.com/WLXie-Tony/Movie_Review_Analysis) |

## Repository

Official replication package for IJFE (2026). Asynchronous ETL pipeline using GPT-4o to quantify investor distraction shocks from unstructured movie reviews.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.