Overtone News Impact Data for Differentiating News Articles

Our NLP-based algorithm looks for signals of journalistic quality, which means that a reporter has put more effort into that piece of content and a reader will receive it a different way. Our data can be used to differentiate between the relative weight of various news articles and can be combined with other data such as sentiment. Because our data is based on the text itself, it can be used the second a piece of text exists online, rather than waiting for signals such as engagement. Overtone can score articles on various categories, sub-categories and topics, depending on the needs of the client. Oftentimes this is based on interest in a particular topic, for example articles about ESG, and a particular set of news sources, such as non-local news outlets in North America and Europe. Topics that run on our global list of sources pull from 4,500 different outlets. These outlets include general news as well as business-focused outlets and trade publications. Our scores are accessible via an API for a particular url or body text, charged by API call. Arrangements can also be made for recurring data delivery on particular topics or from particular sources, delivered once the article and accompanying data exists in our database.

我们基于自然语言处理（Natural Language Processing, NLP）的算法可识别表征新闻质量的特征信号，此类信号意味着该内容经记者投入更多精力创作，能够为读者带来差异化的阅读体验。本数据集可用于区分各类新闻稿件的相对质量权重，还可与情感分析等其他类型数据结合使用。由于数据集直接基于文本本身生成，因此只需待文本上线即可投入使用，无需等待互动量等用户参与信号生成。Overtone可根据客户需求，为不同分类、子分类及主题下的新闻稿件生成质量评分。此类应用场景通常基于特定主题的关注度需求，例如环境、社会和公司治理（Environmental, Social and Governance, ESG）相关稿件，或是特定的新闻来源渠道，如北美与欧洲的非本地新闻机构。依托我们的全球新闻源列表覆盖的主题，可从4500家不同媒体机构获取新闻内容。这些媒体机构涵盖综合新闻媒体、商业垂直媒体及行业期刊。我们可通过应用程序编程接口（Application Programming Interface, API）为指定URL或正文文本提供质量评分服务，计费方式按单次API调用收取费用。此外还可定制特定主题或特定来源的周期性数据交付服务，待相关稿件及配套数据入库后即可完成推送。

搜集汇总

背景与挑战

背景概述

该数据集利用NLP技术分析新闻文本质量，可即时评估文章权重并支持按主题/来源分类，提供API接口或定期数据交付服务。数据覆盖4500家全球媒体，包含综合新闻、商业及行业出版物。