Consumer Sentiment Analysis
Consumer sentiment analysis to hear straight from your customers.
88% of consumers trust online reviews as much as personal recommendations, this is the reason companies should not be ignoring their sentiment while managing online reputation. Majority of such “reviews” is concentrated on Social Media Platforms, which have already become one of the largest sources of consumer sentiment insights.
How can InData Labs help me capture the “voice of the customer”?
- Monitor specific keywords across social web
- Filter out irrelevant content
- Discover topics and sentiment of customer messages
- Respond quickly to a crisis, bad experiences and problems with products or customer service (customers are more likely to share bad experiences than good ones).
InData Labs consumer sentiment analysis is a hybrid engine, which combines sophisticated linguistic algorithms and machine learning. Sentiment analysis allows to determine, whether a piece of writing is positive, negative, or neutral, but in terms of business value it brings in a lot more. The most common application of this technology is to discover how people feel about a particular trend, topic, brand, etc. It saves companies a lot of time, which is normally spent on conducting surveys and cold calling.
Our customers are successfully applying sentiment analysis for online product reviews, emails, tweets, social media posts and other text data. It can also help in customer service optimization, churn prediction and other business intelligence applications.