With the increase in social media applications and the use of those applications, there are always new and varied ways to monitor customer sentiment. The basic technologies employed for sentiment analysis includes natural language processing, computational linguistics, and text analytics. Identifying and extracting subjective information from a variety of sources (such as web pages, online news, internet discussion groups, and social media) can produce interesting and useful data.
ZDNet is where we found this interesting topic. Their article, “Tapping into Consumer Sentiment on Social Networks” provided some interesting information. Unfortunately, what most organizations forget is that after they gather the valuable data, they need to interact with the customer to engage into a longer, more fruitful relationship.
Melody K. Smith
Sponsored by Access Innovations, the world leader in thesaurus, ontology, and taxonomy creation and metadata application.