Text Classification example童谣**童谣 上传1.48 MB 文件格式 rar Text Classification example 文本分类 例子 文本分类示例 文本分类是一种自然语言处理任务,它旨在将文本数据分配到预定义的类别中。这个过程通常涉及机器学习算法,如支持向量机、决策树、神经网络等。文本分类的目标是根据文本内容的特征(如主题、情感倾向...
from sklearn.metrics import classification_report y_pred = nb.predict(X_test) print('accuracy %s' % accuracy_score(y_pred, y_test)) print(classification_report(y_test, y_pred,target_names=my_tags)) 可以看到,准确率约为74% 线性支持向量机 Linear Support Vector Machine SVM是受广泛认可的文本...
FunctionalClassification OperationalResearch andCybernetics SchoolofScience 牟洋 OperationalResearch andCybernetics SchoolofScience 牟洋 Content Introduction ExpressiveText InformativeText OperativeText example Englishprofessorandtranslationtheorist Majorwork:ATextofTranslation(1988) ...
example examples/lr_classification_demo.pyimport sys sys.path.append('..') from pytextclassifier import ClassicClassifier if __name__ == '__main__': m = ClassicClassifier(output_dir='models/lr-toy', model_name_or_model='lr') # 经典分类方法,支持的模型包括:lr, random_forest, decision_...
pytorch-textclassification pytorch-textclassification是一个以pytorch和transformers为基础,专注于文本分类的轻量级自然语言处理工具包。支持中文长文本、短文本的多类分类和多标签分类。 目录数据使用方式pap…
Multi label classification - you can assign multiple classes for each document in your dataset. For example, a movie script could be classified as "Comedy" or "Romance" and "Comedy". This documentation contains the following article types: Quickstarts are getting-started instructions to guid...
Spec example to evaluate the pre-trained model on test data: restore_from: trained-model.tlt test_ds: file_path: PATH_TO_TEST_FILE num_workers: 2 batch_size: 32 shuffle: false num_samples: -1 Use the following command to evaluate the model: tao text_classification evaluate \ -e /specs...
Text Classification and Naïve Bayes An example of text classification Definition of a machine learning problem A refresher on probability The
Sentence-pair classificationClassificationModel Text Representation GenerationRepresentationModel Document RetrievalRetrievalModel Please refer to the relevant section in thedocsfor more information on how to use these models. Example scripts can be found in theexamplesdirectory. ...
classification. What makes these layers so special is the concept of attention. Attention is the idea of focusing on specific parts of an input based on the importance of their context in relation to other inputs in a sequence. For example, let’s say I’m categorizing news articles based ...