tata1661/SimpleSTC-EMNLP22
Codes for SimSTC published in EMNLP 2022.
This project helps data scientists, machine learning engineers, and NLP researchers categorize short text snippets, like tweets, product reviews, or search queries, into predefined categories. You provide a collection of short texts, and it outputs classifications for each text, even for new, unseen texts without requiring retraining. This is particularly useful for those working with limited labeled data.
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Use this if you need to classify short, context-poor texts into categories and want a method that can handle new data efficiently without constant retraining.
Not ideal if you are working with long documents or highly structured data, as this is specifically designed for short, unstructured text classification.
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Feb 20, 2023
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