[[["易于理解","easyToUnderstand","thumb-up"],["解决了我的问题","solvedMyProblem","thumb-up"],["其他","otherUp","thumb-up"]],[["没有我需要的信息","missingTheInformationINeed","thumb-down"],["太复杂/步骤太多","tooComplicatedTooManySteps","thumb-down"],["内容需要更新","outOfDate","thumb-down"],["翻译问题","translationIssue","thumb-down"],["示例/代码问题","samplesCodeIssue","thumb-down"],["其他","otherDown","thumb-down"]],["最后更新时间 (UTC):2022-09-27。"],[[["Text classification algorithms are widely used to categorize text data, with applications like spam filtering and content moderation."],["Topic classification and sentiment analysis are two common types of text classification, focusing on categorizing text into predefined topics and identifying the sentiment expressed, respectively."],["This guide provides a comprehensive workflow for solving text classification problems using machine learning, including data gathering, exploration, preparation, model building, training, evaluation, hyperparameter tuning, and deployment."],["Choosing the right machine learning model is crucial for effective text classification and is discussed in detail within the guide."],["TensorFlow is used to implement the chosen model for practical application in text classification tasks."]]],[]]