https://github.com/dmickelson/newssentimentanalyzerproject

Analyzes top current headlines from major RSS news feed, Uses DistilBERT model fine-tuned for sentiment analysis. Provides a GradioUI for ease of use.
https://github.com/dmickelson/newssentimentanalyzerproject

beautifulsoup gradio huggingface logging pinecone pytest python pytorch rss sentiment-analysis tqdm webscraping yaml

Last synced: about 1 month ago
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Analyzes top current headlines from major RSS news feed, Uses DistilBERT model fine-tuned for sentiment analysis. Provides a GradioUI for ease of use.

• Host: GitHub
• URL: https://github.com/dmickelson/newssentimentanalyzerproject
• Owner: dmickelson
• License: mit
• Created: 2024-07-07T20:52:54.000Z (4 months ago)
• Default Branch: main
• Last Pushed: 2024-07-21T22:07:35.000Z (4 months ago)
• Last Synced: 2024-09-30T23:01:30.157Z (about 2 months ago)
• Topics: beautifulsoup, gradio, huggingface, logging, pinecone, pytest, python, pytorch, rss, sentiment-analysis, tqdm, webscraping, yaml
• Language: Python
• Homepage:
• Size: 664 KB
• Stars: 1
• Watchers: 3
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README-News Sentiment Analysis Logical Architecture-1.eraserdiagram
  • Changelog: NewsSentimentAnalyzerProject.code-workspace
  • License: LICENSE

Awesome Lists containing this project

README

        
cloud-architecture-diagram

title News Sentiment Analysis Logical Architecture

styleMode: shadow

colorMode bold

direction right

News Sentiment Analysis [icon: python]{

  Gather Data [icon: python]

  Analyze Data [icon: python]

}

UI [color: lightcoral]{

  User [icon: user]

  GradioUI[icon: python]

}

News Webpage Scraper [color: yellow] {

  Scrape RSS [icon: selenium]

  Headline, News [icon: data]

}

Sentiment Analyser {

  HuggingFace [icon: tensorflow]

}

// Define the flows

User > GradioUI : Select News Sources

GradioUI > Gather Data: List of News Sources

Gather Data > Analyze Data 

Gather Data > News Webpage Scraper: For each News Source

News Webpage Scraper > Gather Data: Article

Analyze Data > Sentiment Analyser : "Article"

Sentiment Analyser > Analyze Data : "Sentiment"