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Add Advanced Facebook Scraper with RoBERTa Sentiment Analysis#1

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advanced-fb-scraper
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Add Advanced Facebook Scraper with RoBERTa Sentiment Analysis#1
google-labs-jules[bot] wants to merge 1 commit intomainfrom
advanced-fb-scraper

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This PR introduces a new Python script advanced_fb_scraper.py that fulfills the request for an advanced Facebook scraping and sentiment analysis workflow.

Key features:

  1. Scraping: Uses facebook-scraper to fetch posts. Supports scraping public pages without login, and includes an optional --cookies argument for scraping Groups or age-restricted pages (User "Option B").
  2. Advanced Sentiment: Integrates the RoBERTa model (cardiffnlp/twitter-roberta-base-sentiment-latest) via Hugging Face transformers to provide more accurate sentiment labels and scores compared to the previous VADER implementation.
  3. Data Export: Extracts key fields (ID, post_id, time, text, likes, comments, shares) and the calculated sentiment to a CSV file.
  4. Dependencies: Added a requirements.txt file to manage the new dependencies (torch, transformers, etc.).

Usage example:
python advanced_fb_scraper.py TransportForNSW --pages 5 --output results.csv
python advanced_fb_scraper.py 123456789 --cookies cookies.txt --pages 10


PR created automatically by Jules for task 677765494374285160 started by @blakro

- Added `advanced_fb_scraper.py` which scrapes Facebook Pages/Groups (with cookie support) and analyzes sentiment using `cardiffnlp/twitter-roberta-base-sentiment-latest`.
- Added `requirements.txt` with necessary dependencies including `transformers`, `torch`, `pandas`, `scipy`, and `lxml_html_clean`.
- Exports scraped data (including likes, comments, shares, sentiment score/label) to CSV.
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