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Opinion Mining Using Population-tuned Generative Language Models
We present a novel method for mining opinions from text collections using generative language models trained on data collected from different populations.
Schema-Driven Actionable Insight Generation and Smart Recommendation
In natural language generation (NLG), insight mining is seen as a data-to-text task, where data is mined for interesting patterns and verbalised into 'insight' statements.
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