textynews: AI-Powered News Analysis Platform

Author:

🔗 Downtown-Ad731

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App Description

Hey r/sideprojects! I wanted to share a news analysis tool I built that helps readers understand the emotional context and sentiment behind news articles.

What it does for every article :
– performs sentiment analysis and provides a score
– Performs emotional analysis
– Provides TLDR summaries when you click on analyze
– Extracts and analyzes key topics and entities
– user can save articles to reference them later
– articles that the user clicked analyze on get automatically saved if said user is logged in
Important
– there’s also an article analyzer, the idea is tht you should be able to analyze any article by pasting the url, this sometimes works, sometimes doesn’t, i’m guessing it depends if the site has antiscraping measures put in place

Why I built it:
I wanted to create a tool that helps readers better understand the emotional undertones and potential biases in news articles, making it easier to process and contextualize news content. Personally, sometimes i’ll look at something that looks interesting, but it just drags on. I find myself thinking in those moment, just get to the point!

Tech Stack:
– .net
– mysql
– vanilla js/css/html(absolutely despise front end dev, and unwilling to learn a framework)
– IBM watson natural language processing for emotional analysis, entities, keywords, and sentiment
– Open ai for summaries and tldr

Ads on the Site (Apologies!):
I’ve integrated ads through Monetag and ClickAdilla to help cover hosting and development costs(waiting on adsense, who knows if it’ll get approved). While I’ve tried to keep them unobtrusive, I know ads aren’t ideal, and I’m actively looking for ways to improve the user experience while maintaining the site’s sustainability.

Looking For Feedback:
• First Impressions: Does the site feel easy to use and navigate?
• Feature Suggestions: Are there tools or options you’d like to see added?
• Ad Experience: Are the ads manageable, or do they detract too much from the experience?

Try it out: https://textynews.us

[I’m the creator – happy to answer any questions about the implementation!]

Project Overview

textynews is an AI-powered news analysis platform designed to help readers understand the emotional context and sentiment behind news articles. It offers sentiment and emotional analysis, TLDR summaries, and key topic and entity extraction. The platform allows users to save articles for later reference and automatically saves analyzed articles for logged-in users. The creator is seeking feedback on usability, feature suggestions, and ad experience. The tech stack includes .net, mysql, vanilla js/css/html, IBM Watson NLP, and OpenAI for summaries and TLDR. Ads are integrated to cover costs, with efforts made to minimize their impact on the user experience.

Links

🌐 Website: https://textynews.us

Features & Benefits

✅ Performs sentiment and emotional analysis
✅ Provides TLDR summaries
✅ Extracts and analyzes key topics and entities
✅ Allows saving articles for later reference
✅ Automatically saves analyzed articles for logged-in users

Areas for Improvement

🔄 Ads may detract from user experience
🔄 Article analyzer functionality inconsistent due to potential anti-scraping measures