Level: Hard
Description: You work for a company that wants to improve its support for customers. Once a customer submits a question, a system should find similar questions that were submitted in the past in its database, fetch the answers that were given, and send all this data to a customer service representative. The representative should review these answers and leverage them to assist the current customer. As a first step to create this system, you should create a mechanism that recognizes whether two questions have the same intent. This will be key for finding relevant previous questions in the company’s database, leading to more effective support. Given a dataset of question pairs, annotated with whether or not they have the same intent, create a classifier that learns how to make this distinction. Hint: You can find more information about the datasets here. Hint 2: The KNIME Textprocessing extension is helpful for creating features to represent the questions.
Description: You work for a company that wants to improve its support for customers. Once a customer submits a question, a system should find similar questions that were submitted in the past in its database, fetch the answers that were given, and send all this data to a customer service representative. The representative should review these answers and leverage them to assist the current customer. As a first step to create this system, you should create a mechanism that recognizes whether two questions have the same intent. This will be key for finding relevant previous questions in the company’s database, leading to more effective support. Given a dataset of question pairs, annotated with whether or not they have the same intent, create a classifier that learns how to make this distinction. Hint: You can find more information about the datasets here. Hint 2: The KNIME Textprocessing extension is helpful for creating features to represent the questions.