In this post, I want to show how I use NLTK for preprocessing and tokenization, but then apply machine learning techniques (e.g. building a linear SVM using stochastic gradient descent) using Scikit-Learn.
MALLET is a Java-based package for statistical natural language processing, document classification, clustering, topic modeling, information extraction, and other machine learning applications to text.
You've built a vibrant community of Family Guy enthusiasts. The SVD recommendation algorithm took your site to the next level by allowing you to leverage the implicit knowledge of your community. But now you're ready for the next iteration - you are about
T. Lanciano, F. Bonchi, and A. Gionis. Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, page 3308--3318. (2020)
M. Paris, and R. Jäschke. Proceedings of the 14th International Conference on Knowledge Science, Engineering and Management, volume 12816 of Lecture Notes in Artificial Intelligence, page 1--14. Springer, (2021)