Hello everyone,
As more and more machine learning libraries are developed, it becomes much easier to build a text classifier. However, there are still a lot of challenges, ranging from collecting the training data, achieving high accuracy, making the classification fair for different groups of users, defending against malicious input, etc. As a group of researchers from MIT, we are curious about what are the challenges for industrial practitioners currently having to deploy text classifiers. If you have experience in deploying text classifiers, I wish you can spend 15-20 minutes filling out this survey to help us understand the challenges. You will also enter a lottery for a $25 gift card.
Why should you participate?
Have you ever encountered a problem when deploying a text classifier, and could not find a good solution? We believe that there are common problems in the deployment process, while some of them could have a better solution. Our research is to understand the actual challenges in the deployment of text classifiers, and to establish connections between these challenges and future academic research. We will summarize the results into a position paper to call on researchers’ attention to solving problems in the practical deployment.