Avatar 3, FNAF 2, Sonic 3: 500+ News Headlines & Metadata for NLP Analysis
Dataset Description
Dataset Overview
🎬 Tracking the "Blockbuster Battles" of December 2025
This dataset provides a real-time snapshot of the media landscape surrounding the most anticipated movie releases of late 2025. It aggregates hundreds of news headlines to quantify the "Hype Cycle" and "Critical Sentiment" for major films before they hit the box office.
Targeted Movies:
- Avatar: Fire and Ash (Sci-Fi / 20th Century Studios)
- Five Nights at Freddy's 2 (Horror / Blumhouse)
- Sonic the Hedgehog 3 (Action / Paramount)
- Nosferatu (Gothic Horror)
- Mickey 17 (Sci-Fi)
Data Science Applications
- NLP Sentiment Analysis: Classify news coverage as Positive (Hype) vs. Negative (Backlash).
- Topic Modeling: Identify unique narrative themes for each movie (e.g., Avatar = "Visuals", FNAF = "Lore").
- Trend Forecasting: Correlate news volume with "Star Power" (Director/Cast metadata).
Column Descriptors
| Column | Description |
|---|---|
Movie_Tag |
Target label (e.g., "Avatar_Fire_and_Ash"). |
Title |
Full news headline text (Primary NLP Feature). |
Source |
Publisher name (e.g., Variety, IGN). |
Publish_Date |
UTC Timestamp of publication. |
Director |
Metadata: Film director (e.g., James Cameron). |
Key_Cast |
Metadata: Lead actors (e.g., Sam Worthington). |
Description_Snippet |
Short summary of the article content. |
Ethically Mined Data
- Source: Public Google News RSS Feeds.
- License: ODC-BY (Open Data Commons Attribution).
- Update Frequency: Snapshot (Dec 10, 2025).
Acknowledgements
Image Credits Dall-E3.
Data aggregated from Google News.
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