Scope and Quality of deliverables increased through leveraging Serendio?s expertise in Big Data infrastructure and Social content aggregation. Increased Data mining and Predictive modeling capabilities resulted in newer revenue streams.
This paper describes the system developed by the Serendio team for the SemEval-2013 Task 2 competition (Task A). We use a lexicon based approach for discovering sentiments. Our lexicon is built from the Serendio taxonomy. The Serendio taxonomy consists of positive, negative, negation, stop words and phrases.
We took all the conversations around these 2 models and analyzed them for Sentiments and Buzz. It is clear that the volume of conversations with a positive sentiment is higher (36.96%) for Nokia Lumia 920, than for HTC Windows Phone 8X (22.91%).
Though Performance, Body and Battery are the most popular attributes of Ultrabooks , Weight and Track pad are discussed more frequently n the case of Dell XPS 14z. However, these two features rarely get discussed in the case of Toshiba Portege Z835, HP Envy 4 Sleek book, and Acer Aspire S5.