Text classification is a fundamental machine learning problem with applications across various products. In this guide, we have broken down the text classification workflow into several steps. For each step, we have suggested a customized approach based on the characteristics of your specific dataset. In particular, using the ratio of number of samples to the number of words per sample, we suggest a model type that gets you closer to the best performance quickly. The other steps are engineered around this choice. We hope that following the guide, the accompanying code, and the flowchart will help you learn, understand, and get a swift first-cut solution to your text classification problem.
Conclusion
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Last updated 2025-08-25 UTC.
[null,null,["Last updated 2025-08-25 UTC."],[[["\u003cp\u003eThis guide provides a structured workflow for text classification, breaking it down into manageable steps tailored to your dataset's characteristics.\u003c/p\u003e\n"],["\u003cp\u003eModel selection is guided by the ratio of samples to words per sample, helping you quickly identify a suitable model for optimal performance.\u003c/p\u003e\n"],["\u003cp\u003eThe guide includes code and a flowchart to facilitate learning, understanding, and implementing a first-cut solution for your text classification problem.\u003c/p\u003e\n"]]],[],null,["# Conclusion\n\nText classification is a fundamental machine learning problem with applications\nacross various products. In this guide, we have broken down the text\nclassification workflow into several steps. For each step, we have suggested a\ncustomized approach based on the characteristics of your specific dataset. In\nparticular, using the ratio of number of samples to the number of words per\nsample, we suggest a model type that gets you closer to the best performance\nquickly. The other steps are engineered around this choice. We hope that\nfollowing the guide, the\n[accompanying code](https://github.com/google/eng-edu/tree/master/ml/guides/text_classification),\nand the\n[flowchart](/machine-learning/guides/text-classification/step-2-5#figure-5)\nwill help you learn, understand, and get a swift first-cut solution to your text\nclassification problem."]]