Evaluating the return on investment (ROI) of text classification applications

Abstract. Bidirectional Encoder Representations from Transformers (BERT) and BERT-based approaches are the current state-of-the-art in many natural language ... Apr 17, 2021 ... Abstract. Deep learning--based models have surpassed classical machine learning--based approaches in various text classification tasks, ... default=None, metadata={"help": "The name of the dataset to use (via the datasets library)."} ) dataset_config_name ... Oct 1, 2024 ... Original language, English. Place of Publication, Trento. Publisher, ArXiv.org. Number of pages, 10. Publication status, Published - 1 Oct ... May 20, 2016 ... The basic idea is that semantic vectors (such as the ones provided by Word2Vec) should preserve most of the relevant information about a text ... Jun 5, 2023 ... In this blog post, we'll present seven powerful text classification techniques to fit all these situations. ... Text Line Database · Cover of Improving Text Classification with Boolean Retrieval for Rare Categories: A Case Study Identifying. Improving Text Classification ... The documents to be classified may be texts, images, music, etc. Each kind of document possesses its special classification problems. When not otherwise ... May 4, 2020 ... Text Classifier Predictor — NodePit. Predictor for a dictionary-based text classifier for categorizing text documents. We (and our customers) ... Apr 3, 2020 ... By applying it to two fundamental natural language tasks, text classification and textual entailment, we successfully attacked three target ...