Text Classifier Algorithms in Machine Learning – Stats and Bots

You may know it's impossible to define the best text classifier. Unlike that, text classification is still far from convergence on some narrow area. Along with the high-level discussion, we offer a collection of hands-on tutorials and tools that can help with building your own models. The toolbox of a modern machine learning practitioner who focuses on text mining spans from TF-IDF features and Linear SVMs, to word embeddings (word2vec) and attention-based neural architectures. When researchers compare the text classification algorithms, they use them as they are, probably augmented with a few tricks, on well-known datasets that allow them to compare their results with many other attempts on the same problem.