This post is authored by Ollie Newth, Program Manager at Microsoft.
Although text often contains highly valuable data for companies, extracting meaningful data from it can be a challenge. The field of text analytics utilizes natural language processing to extract meaningful structured data from text, and often includes areas such as sentiment analysis, entity recognition and linking, and text clustering.
The Microsoft Text Analytics API is one of the Cognitive Services that can help you turn unstructured text into meaningful insights. The API is one part of the Cortana Intelligence Suite, a family of services that helps enterprises build large-scale analytics solutions. Using a few lines of code, you can easily analyze sentiment, extract key phrases, detect topics and detect language for various kinds of text.
Check out the new demonstration experience here, also shown in the image below:
Since our launchabout a year ago, we’ve seen customers using our service for a broad range of scenarios, all related to one theme: understanding customers’ feedback in order to improve the customer experience. This data is being used to drive daily business decisions, ensuring feedback from customers remains at the core of any consumer-focused business.
We are excited to announce the launch of the following new capabilities.
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