Social Media Monitoring and Engaging Platform 

Every enterprise in this era of Web 2.0 is curious to know the buzz of their brand or product or service among the people. They want to engage themselves with their customers, understand their perceptions and develop insights and use the feedback to react accordingly. SETU Social Media Analytics platform provides the solution for an enterprise to do such things. It helps them to listen, understand and engage their customers by monitoring their buzz in near real time.

Prominent features of SETU Social Media Analysis Platform

Acquiring data

SETU has built its own proprietary crawlers to crawl millions of posts from a wide variety of social media resources on the web, viz. blogs, news articles, reviews, social networking sites, discussion forums, image or video sharing sites. The technology has the capability to parse a wide variety of web documents, and can process large datesets using their sophisticated indexing and searching mechanisms.

Analyzing data

The sentiment analyzer is the core engine of the platform. It measures the buzz of the customer to predict the sentiment. The sentiment analyzer has been built using state-of-the-art technologies in sentiment analysis. It is an agglomeration of both statistical and rule based models, and predicts the sentiment with high accuracy.

What makes SETU core sentiment engine different from others?

Besides, sentiment prediction, the platform also has additional capabilities that are not present in the most of the existing social media platforms. These include sentiment quantification for reviews and blogs, attribute based sentiment prediction and sentiment summarization. These additional capabilities provide a very comprehensive view of customer’s perception rather than a simple binary prediction of positive or negative.

Representing the data visually

The platform uses latest visual technologies to provide an easy to read interface for the analysis done by the core engine. The insights are reported visually in the form of charts and graphs to the end user. The platform has the support to have e-mail alerts for the generated reports, export them to different formats and view them based on several attributes such as region gender etc.