Masao-Taketani/japanese_text_classification
To investigate various DNN text classifiers including MLP, CNN, RNN, BERT approaches.
This project helps Japanese content analysts, researchers, or data scientists automatically sort large volumes of Japanese text into categories. You feed in raw Japanese documents, and it tells you what topic each document is about, making it easier to organize and analyze information. It's designed for anyone who needs to classify Japanese textual data efficiently and accurately.
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Use this if you need to categorize Japanese text, such as news articles, blog posts, or customer feedback, into predefined topics and want to understand how different text processing methods perform.
Not ideal if your primary need is to classify text in languages other than Japanese, or if you require real-time, low-latency text classification for high-volume applications without prior model training.
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Jan 15, 2020
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