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README.md
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## How to Get Started with the Model
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The model will attempt to identify the following components for a given sentence it deems to be sentiment-bearing: _source expressions_ (the opinion holder), _target expressions_ (what the opinion is directed towards), _polar expressions_ (the part of the text indicating that an opinion is expressed), and finally the _polarity_ (positive or negative). For more information about how these categories are defined in the training data, please the paper [A Fine-grained Sentiment Dataset for Norwegian](https://aclanthology.org/2020.lrec-1.618/) by Øvrelid et al. 2020. For each identified expression, the character offsets in the text are also provided.
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Here is an example showing how to use the model for predicting such sentiment tuples:
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## How to Get Started with the Model
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The model will attempt to identify the following components for a given sentence it deems to be sentiment-bearing: _source expressions_ (the opinion holder), _target expressions_ (what the opinion is directed towards), _polar expressions_ (the part of the text indicating that an opinion is expressed), and finally the _polarity_ (positive or negative). For more information about how these categories are defined in the training data, please see the paper [A Fine-grained Sentiment Dataset for Norwegian](https://aclanthology.org/2020.lrec-1.618/) by Øvrelid et al. 2020. For each identified expression, the character offsets in the text are also provided.
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Here is an example showing how to use the model for predicting such sentiment tuples:
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