Within the social media landscape, sentiment is a particularly hot issue because it provides much-needed context about what people are saying about particular companies and brands.
That said, sentiment is also a difficult feature to effectively offer because it requires complex text analytics technology to determine what’s positive, negative or neutral.
For people interested in sentiment about what’s happening on Twitter, a free tool is twitrratr, which emerged from a StartupWeekend project. twitrratr works by cross-referencing a list of positive and negative keywords against a list of adjectives.
While far from perfect, it does provide a take about what’s going on….and it’s free.
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Twitrratr: Sentiment, Anyone?
Within the social media landscape, sentiment is a particularly hot issue because it provides much-needed context about what people are saying about particular companies and brands.
That said, sentiment is also a difficult feature to effectively offer because it requires complex text analytics technology to determine what’s positive, negative or neutral.
For people interested in sentiment about what’s happening on Twitter, a free tool is twitrratr, which emerged from a StartupWeekend project. twitrratr works by cross-referencing a list of positive and negative keywords against a list of adjectives.
While far from perfect, it does provide a take about what’s going on….and it’s free.
Here’s what twitrratr generates from a search for “Obama Barack”: