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| title: TrafficLens | |
| emoji: 📉 | |
| colorFrom: pink | |
| colorTo: yellow | |
| sdk: streamlit | |
| sdk_version: 1.37.1 # The latest supported version | |
| # 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: | |
| 1. Clone the repository: | |
| ```bash | |
| git clone <repository-url> | |
| ### 💬 Feedback | |
| For any questions or feedback, please contact kgawthorpe@transurban.com. | |
| 🚗 Try it out! |