Context Analytics Textual Data for Academics

Clean, structured, & analyzed textual data

Context Analytics converts massive amounts of unstructured data from both alternative and traditional sources into machine readable feeds and searchable market intelligence. Leveraging a proprietary universal parser and Natural Language Processor, Context Analytics curates social media data, corporate flings, earnings transcripts, private company data, and proprietary client data.

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Normalized Social Sentiment Metrics

This social sentiment data feed aggregates Tweets and makes a comparison to the security’s own baseline to deliver 15 sentiment- and Tweet volume-based metrics.

Global

2011-present

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Context Analytics

Does Cross-Sectional Return Extrapolation Explain Anomalies?

Binghamton University and Hofstra University

University of Colorado at Boulder

October 21, 2022

Data provided by

Context Analytics

Significance of Social Networking Media for Influencing the Investor Behaviour in Stock Market

Is Financial Analysis Doomed? The Birth of “Reactive Valuation” Analysis

University of California, Davis

July 16, 2017

Data provided by

Context Analytics

About

Context Analytics

Context Analytics provides the financial and marketing communities with new data sources to evaluate company financials, enhance returns, and reduce risk. CA’s Patented Process is unique in the emerging field of AI, Machine Learning, Natural Language Processing, NLP Sentiment, Textual Parsing, Topic Modeling, and Source Rating.

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