Social Media
Analysis Solutions
Identify the latest trends
Identify the latest trends
The advent of social media opened the floodgate of data on virtually any subject. Millions of people are submitting their opinions to discussion groups, forums, product reviews, etc. Market researchers can now gain access to an abundance of data, enabling them to investigate public opinion on any major brand, product or event, perform competitive intelligence, search for unmet needs, and more. Now the main problem is that the researchers cannot process the dense stream of textual data in a timely fashion and efficiently handle special jargon and the poor quality of social media data. Without proper analytical tools researchers are overwhelmed by piles of low quality data and cannot see the forest for the trees.
We have developed machine learning algorithms and data processing software that lends itself well to analyzing streams of information coming from social media. Our solution provides everything necessary for turning the stream of low quality social media data into timely and actionable insights. The solution can identify important topics, patterns and trends, perform sentiment analysis, and provide graphical reports and dashboards summarizing key discoveries.
The solution based on PolyAnalyst™ works on data obtained from any social media aggregator. It can perform either unsupervised analysis aimed at detecting patterns and trends in data, or supervised analysis where the analyst decides what topics should be monitored. The solution identifies the main topics, as well as sentiment toward them expressed by reviewers. It can be readily customized for a specific application domain to automatically determine factual statements that should be interpreted as positive or negative. Patterns extracted from text can be used together with the associated structured attributes to generate easy-to-comprehend graphical reports summarizing actionable results.
In addition to providing powerful text analytics and reporting, the solution facilitates identifying the most influential contributors and detecting possible abuse in social media.
A large insurance company uses social media to engage with consumers and learn about competitors. With the amount of information shared online increasing every day, the company was looking for an accurate and efficient way of monitoring blogs and social media sites.