How to choose the right text classification algorithm for a specific task? What are the factors to consider when choosing a text classification algorithm?

Apr 3, 2020 ... By applying it to two fundamental natural language tasks, text classification and textual entailment, we successfully attacked three target ... Custom text classification. Custom named entity recognition (available in containers), $5. Text analytics for health (available in containers), 0M-0M - Included ... This paper compares the performance of ten such approaches (five lexicon-based, five machine learning algorithms) across 41 social media datasets. Jul 18, 2022 ... Text classification algorithms are at the heart of a variety of software systems that process text data at scale. Email software uses text ... Jun 5, 2023 ... In this blog post, we'll present seven powerful text classification techniques to fit all these situations. May 29, 2012 ... ... text classification using a world knowledge ontology. Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 ... Jun 15, 2022 ... The Text Classification API is an API that makes it easier for you to train custom text classification models in ML.NET using the latest state- ... pdf - A report containing summary information of this run. The first section includes all the parameters that were specified by the user. The second section ... The AutoKeras TextClassifier is quite flexible for the data format. For the text, the input data should be one-dimensional. Jun 8, 2021 ... A compression algorithm has some knowledge of the distribution of words in a corpus. It can thus be used to classify documents.