Atlastic Reputation AI: Four Years of Advancing and Applying a SOTA NLP Classifier

Viet Yen Nguyen, Andréa B. Duque, Jules Belveze, Lukas D. Baker, Astrid Harsaae, Pedro Pessoa, Inês Oliveira
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Abstract

We report on the main challenges we had to overcome while bootstrapping, commercializing and scaling our automated sentiment analysis solution in the media intelligence industry. Over the span of four years, our solution evolved from a run-of-the-mill component to a bespoke in-house bred flagship feature that, to our knowledge, trumps those of our industry peers. From all the learnings to date, the most significant one has been shifting our data labeling efforts from a third party to a completely in-house controlled process — a move that brought us noticeable improvements in inferencing quality.
大西洋声誉人工智能:SOTA NLP分类器的四年发展和应用
我们报告了我们在媒体情报行业中引导、商业化和扩展我们的自动情感分析解决方案时必须克服的主要挑战。在四年的时间里,我们的解决方案从一个普通的组件发展成为一个定制的内部培育的旗舰功能,据我们所知,它胜过了我们的行业同行。从迄今为止的所有学习中,最重要的是将我们的数据标签工作从第三方转移到完全内部控制的过程中-这一举措为我们带来了推断质量的显着改善。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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