fixed typo in text classifier guide
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- "- Data preparation and model training workflows for entity extraction using `arcgis.learn` is based on [Hugging Face Transformers](https://huggingface.co/transformers/v3.0.2/index.html) library. A user can choose an appropriate architecture to train the model.\n",
+ "- Data preparation and model training workflows for text classification using `arcgis.learn.text` is based on [Hugging Face Transformers](https://huggingface.co/transformers/v3.0.2/index.html) library. A user can choose an appropriate architecture to train the model.\n",
"- Refer to the section [Install deep learning dependencies of arcgis.learn module](https://developers.arcgis.com/python/guide/install-and-set-up/#Install-deep-learning-dependencies) for detailed explanation about deep learning dependencies.\n",
"- **Labeled data**: For `TextClassifier` to learn, it needs to see examples that have been labeled for all the custom categories that the model is expected to classify an input text into. Head to the **Data preparation** section to see the supported formats for training data."
]
