Does RavenPack cover all languages?

RavenPack provides data in 13 languages, ensuring global coverage and local-level precision.

Is training required to use RavenPack?

Yes, RavenPack provides comprehensive documentation and training resources to help users get started.

RavenPack

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Overview

RavenPack provides structured analytics derived from unstructured data sources like news, social media, and transcripts. Its platform uses NLP and machine learning to extract sentiment, relevance, and event data from over 40,000 news and social media sources in 13 languages. RavenPack’s key value proposition is turning unstructured text into actionable insights for financial professionals. It enables users to monitor company news, track economic sentiment, and identify ESG controversies. The data is delivered through APIs and a web-based interface, allowing for integration into investment strategies, risk management systems, and research workflows. RavenPack factors streamline insights for different investment styles, making quantitative analysis more accessible.

Common tasks

Sentiment Analysis Event Detection Entity Recognition Trend Identification Risk Monitoring

FAQ

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What types of data does RavenPack provide?

RavenPack provides structured analytics derived from news, social media, and other text sources, including sentiment scores, event data, and entity recognition.

How is RavenPack data used in finance?

RavenPack data is used for algorithmic trading, risk management, investment research, portfolio optimization, and due diligence.

What is sentiment analysis?

Sentiment analysis is the process of automatically determining the emotional tone or attitude expressed in text, which RavenPack uses to quantify market perception.

How can I integrate RavenPack data into my existing systems?

RavenPack provides APIs and data feeds that can be easily integrated into existing systems, such as trading platforms, risk management tools, and research applications.

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