xiaobaicxy/text-classification-BiLSTM-Attention-pytorch
文本分类， 双向lstm + attention 算法
This project helps you automatically sort text into different categories, like distinguishing positive customer reviews from negative ones, or classifying news articles by topic. You provide a collection of text documents and their correct categories, and it learns to predict the category for new, unseen texts. Anyone who needs to efficiently organize or filter large volumes of text will find this useful.
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Use this if you have a dataset of text documents that you want to automatically categorize, such as sentiment analysis for feedback or topic labeling for articles.
Not ideal if your text classification needs require explaining why a particular text was categorized in a certain way, as this model focuses on accuracy rather than interpretability.
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Language
Python
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Last pushed
Jun 11, 2020
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