I was at a company that tried "sentiment analysis" 10 or 15 years ago. It was impossible to get right. The results were useless. It's funny how nothing seems to have changed. There's always some executive who's heard of "sentiment" and thinks they can spend a week shoving a bunch of text into a database, and then have it tell you whether the words are perceived as good or bad.<p>- I typed "Chevrolet" and it says "mpg" and "venerable" have negative sentiment, while "underachieving", "supposedly", "kilometers", and "cars" have positive sentiment. "Stunning" and "awkward" are both neutral.<p>- I tried "Mazda" and it was only slightly better. "Praise" is neutral, "regret" is positive, and "touring" is negative.<p>- I tried "Petzl" and only shows 16 words, all neutral, and that includes stop words like "had" and "and" and "etc".<p>Those are at least companies with unique names. For companies with less common names, you might be lucky to get keywords related to the right company at all.<p>I think there can be good uses for word clouds, but they are few and far between, and this isn't one. Just make 3 lists, side by side, and title them "positive", "neutral", and "negative". Instead of font size, put the more common words higher on their respective list. The only reason I can see to use a word cloud here is to hide how bad the analysis is.
This is a really cool idea, there are other products out there that do the same thing, but there is definitely room to differentiate yourself.<p>One interesting issue, you might need to read the context a bit more to gauge if the post is actually talking about the Brand. For example Target is a common english word, and if you look at the results, only 1 usage was actually referring to the store Target.<p>One nice bonus that would be useful, I'd like to be able to compare sentiment by Subreddit, if i'm marketing on Reddit I would not target "Reddit" as a whole.
Good idea in principle, however, did you even try to run a test before releasing it to the public?<p>For a particular term I get the following words having "positive" sentiments: boycott, punishment, greed, backlash, protesters, damaging, upset.<p>How in hell is that positive?
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Cool stuff!<p>I found an issue with "+" symbols in the brand name.
Check out this URL - <a href="https://brandimage.io/insight/c++?source=hn" rel="nofollow">https://brandimage.io/insight/c++?source=hn</a><p>If "+" symbol is present, the UI won't show anything.
Pretty awesome that it’s open source.<p>For large companies there are some proprietary solutions for this. Example:<p><a href="https://www.trendkite.com/" rel="nofollow">https://www.trendkite.com/</a><p>Disclaimer: family member works there so that’s the reason I’m aware that this niche exists.
I kind of hate this idea.<p>It's one thing if companies want to find out what people are saying about them so they can improve. However, I'd be surprised if that's how it is used.<p>This feels more like a way to measure the effectiveness of their astroturfing or low-key marketing efforts.
Good job. Certainly see some potential. Our company used Clara in the past. I actually wrote my own in xls if you can believe it but it was highly vertical and tight topic so it was relatively easy. Where are you physically located?
We made something similar at a hackathon: <a href="https://spicy-lip.surge.sh/features" rel="nofollow">https://spicy-lip.surge.sh/features</a>