Hi everyone, we developed a tool that can easily tell you the overall sentiment of a message based on a word. For now it’s hacker news only but we think this thing has potential.
Whether you’re a startup, solopreneur or product manager, you can track trends with it. We are also planning to add predictive tools and real time analysis. Operationally this tool is a lot cheaper than Sprout Social or other similar solutions on the market.
No sign-up required. Just type and see results.
I'd love your feedback on the tool's usefulness and any ideas for improvement.
Note: I would suggest just removing dark mode for now. Works WAY better in light mode. I almost missed the light mode, and that would have been too bad.
Here's my user test: https://news.pub/?try=https://www.youtube.com/embed/2eac5XZe...
For example if you search for bitwarden it ranks three comments as negative, all others as neutral. If I as a human look at actual comments about bitwarden [1] there are lots of comments about people using it and recommending it. As a human I would rate the sentiment as very positive, with some "negative" comments in between (that are really about specific situations where it's the wrong tool).
I've had some success using LLMs for sentiment analysis. An LLM can understand context and determine that in the given context "Bitwarden is the answer" is a glowing recommendation, not a neutral statement. But doing sentiment analysis that way eats a lot of resources, so I can't fault this tool for going with the more established approach that is incapable of making that leap.
1: https://hn.algolia.com/?dateRange=pastMonth&page=0&prefix=tr...
Still better than making everything flat without shadows and making me guess where I can click, I guess.
1: https://www.alamy.com/stock-photo-finger-pressing-the-button...
2: https://www.alamy.com/close-up-of-clothes-washing-machine-bu...
Edit: just checked, this comment was analyzed as "Sentiment: neutral (Confidence: 79.56%)" on the topic of "neumorphic"
https://www.nngroup.com/articles/skeuomorphism/
https://www.nngroup.com/articles/flat-design/
>Neumorphism never quite made it mainstream because it comes with its own set of problems. The low contrast does not offer sufficient visual weight, making the experience not accessible. Additionally, it is difficult to determine clickability, as neumorphism is often used inconsistently on nonclickable and clickable elements.
Don't get me wrong, I still like the design and I think it's cool, but I understand the reasons why it never got popular.
Bug report, I saw inaccurate results, I asked about “native apps” and I got negative sentiment. This is contrary to my experience, afaik HN loves them.
The example comment[1] quoted “non-native apps” and is part of the discussion where people say they don’t like non-native apps.
Edit: Then I asked about non-native apps, got sentiment “neutral” and this comment (the one I’m editing now) as the example. Very unexpected!
[1]: >>41366882
I don’t think it ever gained traction, probably because people aren’t interested in creating an actual theory of sentiment that matches the real world.
[1]: https://github.com/clips/pattern/wiki/pattern-en#sentiment
I searched "apache" and the "randomly sampled comment" was a mystery:
> I think the author has a point with one-way doors slowing down the adoption of distributed systems. ...
I had to search google with that phrase to get the actual context. ( >>41363836 )
Which turned out to be about "Apache Beam" not the Http server.
https://www.cloudwisp.com/exploring-visual-basic-1-0-for-ms-...