Editing Natural language classification

Comparison of Natural language classification

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[https://cloud.google.com/natural-language/automl/docs/ Google Cloud AutoML Natural Language] {{access | date=2019-02-15}}
* Language: Supports English text only
* File format: csv, text, compressed text files<ref name="google-automl-prepare">[https://cloud.google.com/natural-language/automl/docs/prepare 準備訓練資料  |  AutoML Natural Language  |  Google Cloud]</ref>
* Classification type: Supports single-label classification or [https://en.wikipedia.org/wiki/Multi-label_classification multi-label classification]<ref name="google-automl-prepare" /><ref>[https://stackoverflow.com/questions/52558137/format-of-the-input-dataset-for-google-automl-natural-language-multi-label-text Format of the input dataset for Google AutoML Natural Language multi-label text classification - Stack Overflow]</ref>

IBM [https://www.ibm.com/watson/services/natural-language-classifier/ Watson Natural Language Classifier] {{access | date=2019-02-15}} demo: [https://natural-language-classifier-demo.ng.bluemix.net/ Natural Language Classifier Demo]
* Language: "Classify text in multiple languages, including English, Arabic, French, German, Italian, Japanese, Korean, Portuguese (Brazilian), and Spanish."<ref>[https://www.ibm.com/watson/services/natural-language-classifier/ Watson Natural Language Classifier]</ref>
* File format: csv<ref name="ibm-using-your-data">[https://cloud.ibm.com/docs/services/natural-language-classifier/using-your-data.html#- 使用自己的資料]</ref>
* Classification type: Supports single-label classification or multi-label classification (maximum: 100)<ref name="ibm-using-your-data" />

[https://aws.amazon.com/tw/comprehend/ Amazon Comprehend – 自然語言處理(NLP) 和機器學習 (ML)] {{access | date=2019-02-15}}
* Language:
* File format: csv <ref name="aws-classification-training">[https://docs.aws.amazon.com/en_us/comprehend/latest/dg/how-document-classification-training.html Training a Custom Classifier - Amazon Comprehend]</ref>
* Classification type: Supports single-label classification or multi-label classification (max: 1000)<ref name="aws-classification-training" />

== References ==
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[[Category:Programming]] [[Category:NLP]] [[Category:Data Science]]