In the first part of this blog, I mentioned that sentiment analysis measures the polarity of opinion—positive, negative, or neutral—regarding a subject, a product, a service, etc.
Two main approaches can be used to perform sentiment analysis or text mining: a knowledge-based approach, which uses linguistic models to classify sentiments; and a learning-based approach, which uses
of the importance of measuring this information and analyzing it. Currently, sentiment analysis has a strong potential to be used jointly with BI applications making it possible to apply traditional BI techniques to visualize what a sentiment-based tool has discovered on the Web. Some vendors are already offering analytics services ( radian6 , Sysomos , BuzzLogic , and Attentio ) to measure and analyze social media content. Now, there is also an existing trend regarding traditional BI providers to