Current computer vision models such as object detection, classification, and segmentation are rarely trained from beginning. Text classification is a category in natural language processing (NLP) and is widely used in real world applications such as deification of spam, fraud, bot detection, and commercial document classification. Training the language models with large data sets is often a challenge for data scientists and is the main hindrance for adoption of NLP models.
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