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Clarified roadmap to mention existence of current text/NLP features (#800)
* clarifying roadmap to mention current text/NLP features * updated the documentation to fix review comments
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ROADMAP.md

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@@ -23,11 +23,12 @@ In the meanwhile, we are looking for contributions. An easy place to start is t
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* Native Binary high-performance format
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### Featurization Improvements
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We already provide text/NLP and image processing functionnalities that will be expanded
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* Text (*)
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* Natural language text preprocessing such as tokenization, part-of-speech tagging, and sentence breaking
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* Pre-trained text models that can be used for extracting of semantic or sentiment features from text
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* Natural language text preprocessing such as improving tokenization features, adding part-of-speech tagging, and sentence boundary disambiguation
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* Pre-trained text models (beyond current n-gram and pre-trained WordEmbedding text handling) that can further improve the extraction of semantic or sentiment features from text
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* Image (*)
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* Image preprocessing such as loading, resizing, and normalization if images
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* Image preprocessing such as loading, resizing, and normalization of images
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* Image featurization, including industry-standard pre-trained ImageNet neural models, such as ResNet and AlexNet
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### Trained Model Management

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