Wiseer was created out of a growing need to quickly and accurately be able to draw conclusions on large sets of data. The service works by sending in snippets of text, the snippets will be analyzed and the user is then able to extract aggregated and individual values for the analyzed snippets. The snippets are analyzed for the sentiment (positive/negative) value as well as the level of toxicity in the text.
One, out of many, use-cases would be for users to create a data cluster for their latest blog or social/media post and then send in all the comments on the post. They would then be able to track the response on the post, and easily see the general reaction to it.
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