Shypd.aiThe largest open index of AI toolsABSA-BERT-pair is an open-source Data & Analytics tool that utilizes BERT for Aspect-Based Sentiment Analysis. It provides code and corpora for the NAACL 2019 paper "Utilizing BERT for Aspect-Based Sentiment Analysis via Constructing Auxiliary Sentence."
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ABSA-BERT-pair is an open-source tool designed for Aspect-Based Sentiment Analysis (ABSA), leveraging the power of BERT models. It implements the methodology described in the NAACL 2019 paper, "Utilizing BERT for Aspect-Based Sentiment Analysis via Constructing Auxiliary Sentence." The tool provides the necessary code and corpora to replicate and extend the research, allowing users to prepare datasets, convert BERT-tensorflow models to PyTorch, train models for various ABSA tasks (like NLI_M, QA_M, NLI_B, QA_B, and single-aspect tasks), and evaluate results. It supports datasets such as SentiHood and SemEval 2014, making it a valuable resource for researchers and developers in natural language processing and sentiment analysis.
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