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Social networking websites are not just marketing tools for companies, they are sources of information, very relevant for company’s growth. Customers and prospects share comments, feedback, suggestions and complaints by expressing their feelings on social media pages. Social Media Analysis is centered on analyzing this information and presenting it meaningfully to the right people. At QBurst, we use a semi-automated method to analyze social media pages and gather insights from them. Our methodology uses text mining, automatic categorization and sentiment analysis technologies combined with human intelligence where needed. Reports are customized to requirement and can be delivered on a daily, weekly or monthly basis.
Aware of the analytical limitations of technology and the excess time consumed by mere human effort, we designed a semi-automated tool that utilizes the speed of technology and the analytical skills of the human mind.
Our in-house tool aggregates your social media feeds and stores them in our servers. This enables analysts to work on individual conversations through the tool’s custom designed interface. The tool does the initial categorization and sentiment analysis using text mining algorithms.
Machines do a poor job of understanding context and sarcastic comments. So our analysts manually recheck the categorizations and analyze conversations on social media. They read through the statements and sort them into custom-created categories. After analysis, final report with charts, graphs and tables is prepared.
Understand customer sentiments
Know customer interests and expectations
Compare with competitors’ social media activity
Perform brand evaluation
Find out key issues
Identify key influencers
Manage social media channels efficiently