Topic Classification for Survey Analysis with the Peltarion Platform
In this presentation we will go through the main steps and challenges of a real-life project, from the data collection to the end model. In this case, my team and I worked with a customer that analyses employee surveys to help the management identify problematic areas within their company. Our final solution involved the fine-tuning of a multilingual transformer model and individual threshold tuning for each label. The model was build, trained and deployed on the Peltarion Platform.
Francesca is a Data Scientist at Peltarion. She has a MSc in Mathematics and studied in Pavia, Milan and Graz. Before Peltarion she was part of the R&D department of STMicroelectronics, where she used machine learning techniques for industrial applications. At Peltarion she develops end to end solutions for customers in a wide range of industries with a focus on Deep Learning for Natural Language Processing and Computer Vision.
