textClassifier and Text-Classification
About textClassifier
richliao/textClassifier
Text classifier for Hierarchical Attention Networks for Document Classification
This tool helps you automatically sort documents or pieces of text into categories. You provide a collection of text data, and it identifies the core topics or sentiments within each piece, assigning it to a specific label. It's designed for data analysts or researchers who need to categorize large volumes of textual information efficiently.
About Text-Classification
Renovamen/Text-Classification
PyTorch implementation of some text classification models (HAN, fastText, BiLSTM-Attention, TextCNN, Transformer) | 文本分类
This tool helps you automatically sort text documents, like news articles or product reviews, into predefined categories. You provide a collection of text data, and it outputs labels for each document based on its content. This is useful for data scientists, machine learning engineers, and researchers who need to categorize large volumes of unstructured text.
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