How can text classification be used for social good? Detecting hate speech and cyberbullying using text classification

Mohit Iyyer, Varun Manjunatha, Jordan Boyd-Graber, and Hal Daumé III. 2015. Deep Unordered Composition Rivals Syntactic Methods for Text Classification. In ... Natural Language Inference (NLI). In NLI the model determines the relationship between two given texts. Concretely, the model takes a premise and a hypothesis ... Aug 31, 2024 ... You'll train a binary classifier to perform sentiment analysis on an IMDB dataset. At the end of the notebook, there is an exercise for you to ... The AutoKeras TextClassifier is quite flexible for the data format. For the text, the input data should be one-dimensional. 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. Mar 29, 2025 ... We explore the application of LLMs to supervised text classification. As a case study, we consider stance detection and examine variation in predictive ... Text classification also known as text tagging or text categorization is the process of assigning tags/labels to unstructured text. Using Natural Language ... 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 ... Jun 21, 2024 ... In this article, we will use scikit-learn, a Python machine learning toolkit, to create a simple text categorization pipeline. 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 ...