General Sentiment was a social media monitoring and analytics company providing social data to help brands make decisions based on content from sources including blogs, forums, Twitter, Facebook, television and radio broadcasting. The system used natural language processing and text analytics for sentiment analysis. It is no longer available.
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Hootsuite Insights
Score 9.9 out of 10
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uburVu (for a time known as Hootsuite Insights) analyzed big social data, combining monitoring capabilities, data analysis and reporting features to show insights like influencers, stories, and trends. It was acquired by Hootsuite in 2014, and has since been discontinued.
I liked uberVU a lot, and thought I was lucky to have found them (they actually responded to my tweet when I was vendor-searching, which was good to know as they were doing just what we were planning to use the software for). They are relatively small, which allows to have a great personal relationship and we felt very valued as a client. They provided great value - some of their competitors allow for more features (which explains their higher price), but there was no way to opt out of the unnecessary features to lower the price - uberVU didn't have any of that, it was just what we needed and in our price range
The application does take time to start gathering data on a specific topic. As such, its important to include as many keyword search topics as possible, and also be sure to refine them as you gather data.
The user interface isn't particularly intuitive, there is some work that could be done to streamline its use.
Social media tools are constantly evolving. I would want to be sure that my research question was complimented by the metrics and options presented by the social media tool. General Sentiment is very useful and innovative and their customer service was excellent. Their sales and customer service team was very helpful in onboarding our staff and being flexible with our needs.
I find it a great tool in the digital strategy world to see what people are saying across social platforms. It's much more efficient that doing a search on the platform itself and provides a lot of information extremely quickly
Radian6 and Brandwatch were on the short list. We picked uberVU for its combination of price and features. It did not have extra features we didn't need, they were customizable and flexible enough to meet all of our needs
Social media analytics can accelerate the speed with which researchers can investigate a topic of interest, at a lower cost.
Due to the low barrier to entry (e.g., most social media sites and blogs are free), data collection burden, as traditionally defined, is significantly reduced or eliminated. The absence of direct interactions between researchers and the study population may do more to mitigate sources of bias compared to other more intrusive forms of data collection (i.e., interviews, focus groups).
Used to to gather unstructured data and feedback from Medicare beneficiaries, caregivers, advocates, and other stakeholders to identify systemic issues that beneficiaries encounter.