Hi,i am writing blogs for our platform House of Bots on Artificial Intelligence, Machine Learning, Chatbots, Automation etc after completing my MBA degree. ...Full Bio
Hi,i am writing blogs for our platform House of Bots on Artificial Intelligence, Machine Learning, Chatbots, Automation etc after completing my MBA degree.
Data Science: A Team Spirit
25 days ago
Python Opens The Door For Computer Programming
Revamping Customer Experience with NLP
- Speech Recognition: The main implementation of this technology is chatbots. Recently like Siri, Skype translator or Facebook used this technology and many businesses love to record and analyze the customer calls so that they can get relevant response from that could improve the customer experience.
- Sentiment Analysis: It's not easy to know the emotions and sentiments of the people. But the sentiment analysis technology can know and manage these tasks. Like if we went to restaurant and ordered food so how the service provider can come to know about the quality and the emotions of the customer's. So on the based on star rating the service provider can easily know the emotions. This technology plays very important role in monitoring brand image and product image on the web. Other than rating comments sections is also there so from the comments we can easily figure out the attitude and emotions which are rooted in the message. So with the help of NLP technology we can easily analyze the text data.
- Personalized Bots: According to Gartner, by the end of the year 2020, more than 55% of large organizations will focus on employing chatbots rather than E-Commerce application development. With the help of chatbots the customer can easily get to know the style preferences, price range, likes and dislikes of the outfit. To gain the customer's intent the NLP tech is the best fitted AI-based technology.
- Cost-Effective Approach: This could be the cost-effective approach only when if the consumers feel that their needs are satisfied and it is done on priority basis. This strategy will return and multiples the lines of loyal consumers. This technology could also analyze what exactly the consumers are demanding. This directly led to profit for the organization.