The code for the ACL 2023 paper "Linear Classifier: An Often-Forgotten Baseline for Text Classification".
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Updated
Jun 29, 2024 - Python
The code for the ACL 2023 paper "Linear Classifier: An Often-Forgotten Baseline for Text Classification".
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Лабораторные работы по предмету "Системы и методы принятия решений"
Implementation of Parabel (Partitioned Label Trees for Extreme Classification) in Python
Implemented and compared three types of linear classifiers to use for sentiment analysis of Amazon product reviews.
Built classifiers using logistic regression and decision trees to classify product reviews and used machine learning techniques such as boosting, precision and recall, and stochastic gradient descent for optimization in Python
Contains code involving CS 503 - Lab 3 : Implementation of Support vector Machine.
Perceptron, Pseudo Inverse Linear Classifier, SGD, SVM, Batch Gradient Descent, Minibatch Gradient Descent with tensorflow
This project explores text classification using a dataset of AI-generated real and fake city facts. It evaluates the performance of simple linear classifiers.
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