
Twends: Intelligent Twitter Trends – Finding Out Sentiments in Real Time
Posted by Brian Wong on Mar 12, 2009, under AerInterest
Here’s a little fun tool from Waggeneredstrom, a worldwide communications firm. They’ve utilized Twitter’s API to analyze “twendz” on Twitter: essentially, rating positive and negative feedback using key words scattered in tweets. This technology works by running every word they see related to the particular brand or product in question with their “positive/negative” ranking database. For example, “suck” and “poor” and “horrible” would be negative words – in a massive database of ranked words.
What happens next has phenomenal online “environmental assessment” implications. Each “keyword” you search, if popular enough, will have around 70 tweets that will be analyzed by this service at any given moment. It will gauge the positive or negative sentiments surrounding your brand or product at any given time.
It still has its flaws – for example, keywords like “Rogers” can me mixed with people like Ted Rogers – a lot of keywords can be mistaken for another thing. There is a lot of potential with other tools like this though – Twitter – as I’ve mentioned before – is now truly becoming the real true realtime search engine for anything (public opinion, and, even health trends).
Link: Twendz





Here’s an interesting article by Allan Mutter that advocates for paid content with major “legit” media producers. His main concern revolves around reducing the stigma of “free” around the web’s quality content and charging to help keep “legit” alive. Chris Anderson (from Wired) 