ngoquanghuy99/BERT-social-media-text
BERT using PyTorch for sequence labeling task on social media text corpus (TweetNLP)
This tool helps you automatically analyze and label parts of speech in social media text, like tweets. You provide raw social media posts, and it identifies and tags words as nouns, verbs, adjectives, and so on. It's designed for linguists, social scientists, or market researchers studying online communication patterns.
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Use this if you need to perform detailed linguistic analysis or extract structured information from large volumes of social media conversations.
Not ideal if you're looking for sentiment analysis or content summarization, as its primary function is grammatical tagging.
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Last pushed
Dec 26, 2020
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