Customer Segmentation and Targeting in Analytics
In this article, we explore how customer segmentation and targeting are essential aspects of product analytics.
George Kraychik
January 17, 2023
3 min
September 19, 2021
3 min
One of the key ways NLP can be used to improve customer service is through the use of chatbots. Chatbots can be trained to understand and respond to customer inquiries in natural language, providing quick and accurate responses to common questions. This can free up customer service representatives to handle more complex issues, and provide customers with 24/7 support.
Another way NLP can be used to improve customer service is through sentiment analysis. Sentiment analysis is the process of determining the attitude or emotion of a speaker from text. By analyzing customer feedback and support tickets, businesses can identify patterns and trends in customer sentiment, and take action to address negative feedback and improve customer satisfaction.
Advanced facts on NLP include using Named Entity Recognition (NER) which is used to extract the names of people, organizations, locations, etc. from text, and using Coreference Resolution, which is used to identify when two or more words in a text refer to the same thing.
NLP can also be used to improve communication within a business. For example, it can be used to automatically summarize long documents, making it easier to quickly understand their content. Additionally, NLP can be used to classify and categorize emails, making it easier to prioritize and respond to important messages.
In conclusion, NLP is a powerful tool that can be used to improve customer service and communication. By understanding how to use NLP, startups and businesses can provide better customer service and improve internal communication, leading to increased customer satisfaction and efficiency.
