Text Analytics
Text Mining is the process of drawing out high quality information from textual communications such as forms, websites, emails, etc.
Text Analytics are usually performed with end goals such as Sentiment Analysis in mind. It is used to ascertain patterns of thoughts, emotions, expectations and sentiments of users at scale. Natural Language Processing algorithms are deployed for the purpose.
Text Analytics also enable Thematic Analysis. This is done by analyzing group of words in various permutations and combinations to establish a spectrum of emotions user experience while performing an activity.
Chat Bots
Having a customer representative serve a customer is extremely expensive. Especially today when there are simpler and cheaper equivalents available. Chat Bots enable your business to effectively address routine customer service calls while diverting more advanced and one off queries to a knowledgeable technician.
Approach
- Thorough business analysis to identify conversation paths
- Developing conversation paths so that the user is directed down our desired narrow flow that the engine is capable of
- Recognizing intents, and routing responses accordingly
Watch how Ecotech enabled a sports intelligence company help swimming coaches to work better with their wards.
One of Japan’s finest sports consulting companies founded by an ex Olympic swimmer helps Swimming Coaches train their wards better. In order for the company to deeply engage with the swimmers, Ecotech developed a cloud-based, AI-enabled web and mobile app to help swimming coaches better engage & understand their trainees through periodic session surveys, and sentiment analysis of the responses.
The end goal was to help coaches understand their wards’ state of mind before and after practice sessions. This was achieved using a Google NLP Powered Sentiment Library and an in-house product developed for thematic visualization of word clusters.
Get in Touch