metadata

title: TrafficLens
emoji: 📉
colorFrom: pink
colorTo: yellow
sdk: streamlit
sdk_version: 1.37.1

TrafficLens - Full-Text Article Analyzer App

TrafficLens aggregates and processes full-text articles scraped from various news sources, including Reddit, NewsAPI, GoogleNews, GDELT articles, and Tavily news. The app analyzes the articles, provides a sentiment index, and summarizes the key information about the events discussed in the articles.

Features:

Article Scraping: The app scrapes articles from multiple news platforms, including Reddit, NewsAPI, GoogleNews, GDELT, and Tavily news.
Sentiment Analysis: Each article is analyzed for sentiment, with a sentiment index indicating whether the tone is positive, negative, or neutral.
Summarization: The app provides concise summaries of the articles, highlighting key information about the events or topics discussed.
Comprehensive Insights: The app generates a report with the sentiment analysis and key information from the article for quick understanding.

Supported Sources:

Reddit: Full-text articles from various subreddits.
NewsAPI: Aggregated articles from a wide variety of sources.
GoogleNews: Scraped news from Google’s trending stories.
GDELT: Real-time global event data and news monitoring.
Tavily News: Articles from Tavily’s news aggregation service.

Tasks:

1. Scrape Articles:

The app collects full-text articles from the above sources.
It processes the text for further analysis.

2. Sentiment Analysis:

The app applies sentiment analysis algorithms to determine the overall tone (positive, negative, neutral) of each article.
It generates a sentiment index for each article, reflecting the strength of the sentiment.

3. Summarize Events:

The app extracts and summarizes the most important events or key points discussed in each article.
The summary highlights major happenings and provides a quick overview of the article.

4. Display Insights:

Each article’s sentiment index and summary are displayed, making it easy to analyze and understand the coverage of different topics.

Output Format:

Article Source: [Name of source, e.g., Reddit, NewsAPI]
Title: [Article title]
Sentiment Index: [Sentiment index created by Transurban]
Summary: [Concise summary of the article's key events]
Full Text: [Link to the full article or the article body]

Installation:

Clone the repository:
```
git clone <repository-url>
```

💬 Feedback

For any questions or feedback, please contact kgawthorpe@transurban.com.

🚗 Try it out!