Search Results for "summarization"

TrendRadar is an AI-powered trend and hotspot tracking system that aggregates information from dozens of news, social, and content platforms to help users cut through information overload and focus on what matters. It automatically crawls and monitors trends across 30+ sources with smart filtering, keyword triggers, sentiment analysis, and natural language summarization to give actionable insights. The tool supports multiple alert modes—such as daily summaries, incremental change monitoring, and current rankings—and can push notifications through messaging platforms like Telegram, Slack, WeChat, DingTalk, and email. Users can deploy it quickly via Python and GitHub Actions, and it also supports RSS feeds and Docker deployment for flexible integration. ...

Upvote RSS is a flexible, open-source tool for generating customizable RSS feeds from discussion platforms such as Reddit, Hacker News, Lemmy, Lobste.rs, PieFed instances, and GitHub activity. It works as a web application (often deployed with PHP or via Docker) that lets users build feeds with rich options — including summaries, scores, comments, and filtering — to tailor what content flows into their feed reader. Upvote-RSS gives fine control over how posts are selected and presented, and...

...It’s a tool very much aimed at content-analysis, web scraping, building datasets, or repurposing article text for downstream processing (like machine-learning or summarization). The API is simple: you feed in raw HTML and it returns a structured object with the extracted text and other fields. It supports caching internal representations to speed up repeated extractions. While its language support is best for English, it is still widely used in web-content-processing pipelines. The repository notes some limitations (e.g., languages like Chinese/Arabic/Korean may not be well-supported). ...