Challenges in keeping up with the rapid advancements in the field

Nov 16, 2023 ... Looking for a very small text classification transformer [R]. Research. I'm looking for suggestions for a transformer model that I can fine-tune ... In natural language processing (NLP), text classification tasks are increasingly fine-grained, as datasets are fragmented into a larger number of classes ... Oct 28, 2013 ... Text categorization ... Text categorization (a.k.a. text classification) is the task of assigning predefined categories to free-text documents. It ... May 13, 2021 ... I have a few text classifiers that i am testing out, and they work well for data that does fit into any predefined category. Aug 15, 2018 ... we are going to learn about text classification — the secret weapon that NLP developers use to build cutting edge systems with relatively dumb ... Aug 9, 2024 ... This study aimed to evaluate their performances on social media-based health-related text classification tasks. Feb 1, 2023 ... This work presents a "conversion + fine-tuning'' two-step method for training SNN for text classification and proposes a simple but effective way to encode pre ... ... text classification to improve the detection of the target classes from Twitter. We reviewed the literature related to short text classification of ... Text Classification, also known as text categorization or text tagging, is a technique used in machine learning and artificial intelligence to automatically ... This paper compares the performance of ten such approaches (five lexicon-based, five machine learning algorithms) across 41 social media datasets.