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.
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
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.
M. Paris, и R. Jäschke. Proceedings of the 14th International Conference on Knowledge Science, Engineering and Management, том 12816 из Lecture Notes in Artificial Intelligence, стр. 1--14. Springer, (2021)
T. Lanciano, F. Bonchi, и A. Gionis. Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, стр. 3308--3318. (2020)
X. Zhang, и Y. LeCun. (2015)cite arxiv:1502.01710Comment: This technical report is superseded by a paper entitled "Character-level Convolutional Networks for Text Classification", arXiv:1509.01626. It has considerably more experimental results and a rewritten introduction.
G. Krempl, T. Ha, и M. Spiliopoulou. Proc. of the 18th Int. Conf. on Discovery Science (DS 2015), том 9356 из Lecture Notes in Computer Science, стр. 101--115. Springer, (2015)
X. Li, B. Liu, и S. Ng. Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, стр. 218--228. Stroudsburg, PA, USA, Association for Computational Linguistics, (2010)