jonathanbratt/RBERT
Implementation of BERT in R
This R package lets data analysts and researchers using R explore pre-trained BERT models for natural language processing tasks. It takes text as input and produces contextual representations, which are numerical features representing the meaning of words in their specific context. This is useful for anyone who needs to understand or process text data within the R environment, especially those in academic research or applied data science.
163 stars. No commits in the last 6 months.
Use this if you need to extract sophisticated, context-aware numerical representations of text for further analysis or as features in other machine learning models, all within the R programming language.
Not ideal if you plan to fine-tune a BERT model with your own data, as this package is not currently recommended for that purpose.
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163
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19
Language
R
License
Apache-2.0
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Last pushed
Jan 25, 2023
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