How to design effective prompts for different text classification tasks?

... classification operation. Currently, the only available key is: task_description : A string containing a short explanation of the text classification task. May 4, 2020 ... Text Classifier Predictor — NodePit. Predictor for a dictionary-based text classifier for categorizing text documents. We (and our customers) ... Aug 1, 2021 ... The general format of natural language inference (NLI) makes it tempting to be used for zero-shot text classification by casting any target ... Apr 2, 2022 ... Comidor provides Machine Learning(ML) models such as ML Predictive Models and ML Text Classification to enhance Digital Process Automation. Jul 21, 2024 ... This tutorial on Fine tuning LLama 3 LLM for Text Classification of Stock Sentiment using QLoRA was particularly useful. Use the text classification models to classify a set of words from a resource based on three text classification algorithms: Bag-of-Words, N-Gram, and Text ... 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 ... The AutoKeras TextClassifier is quite flexible for the data format. For the text, the input data should be one-dimensional. Aug 9, 2024 ... This study aimed to evaluate their performances on social media-based health-related text classification tasks. We introduce an algorithm for learning from labeled and unlabeled documents based on the combination of Expectation-Maximization (EM) and a naive Bayes ...