What are zero-shot text classification models?

Text classification is a classic topic for natural language processing, in which one needs to assign predefined categories to free-text documents. The range ... Dec 24, 2018 ... This workflow demonstrates how tidy data principles can be used not just for data cleaning and munging, but for sophisticated machine learning as well. Text classification also known as text tagging or text categorization is the process of assigning tags/labels to unstructured text. Using Natural Language ... 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 ... Abstract. Bidirectional Encoder Representations from Transformers (BERT) and BERT-based approaches are the current state-of-the-art in many natural language ... Sentiment analysis. Text classification allows organizations to manage their brand effectively on multiple channels by extracting specific words that indicate ... default=None, metadata={"help": "The name of the dataset to use (via the datasets library)."} ) dataset_config_name ... Apr 3, 2025 ... Text classification is a key natural language processing task widely used in areas such as news classification, sentiment analysis, topic ... This paper aims to extensively examine the impact of preprocessing on text classification in terms of various aspects such as classification accuracy, text ... A Gaussian kernel allows an algorithm to learn a linear classifier in an infinite dimensional feature space. 3. A Kernel for Text Sequences- A Step beyond Words.