Sandeep Raut recently provided some useful guidelines for Implementing and Using Social Media Analytics. As he noted companies have started using the huge unstructured text data with social media for customer service improvements, for understanding what customers are talking about themselves or competitors, and general market awareness.
Sandeep offers what he refers to as “typical steps in implementing social media analytics.”
- “Collect the huge amount of unstructured data – comments, blogs, call center notes, twits from social sites
- Using statistical analysis & Natural Language processing (NLP) on texts & words to break up the information into good or bad
- Use categorization, classification & association methods for text processing
- Further identify the categories on which these good or bad sentiment are applicable from the data
- Brand awareness, trust, loyalty
- Customer service
- Product improvements
- Competitor analysis
- Geographic locations
- Produce the results using visualization tools”
Here is an alternative approach. Use the Darwin Awareness Engine™ and skip to the last step. Then use your topic expertise to quickly make sense of the emerging themes in your areas of expertise and interest. The Darwin Awareness Engine is designed to enable people to make sense of content and bypass reliance on complex technologies that are still working to become accurate.
Comments