Amenity Analytics is a cloud-based NLP (Natural Language Processing) solutions that helps businesses draw actionable insights from unstructured text and data on a massive scale.
Serverless NLP platform using AI to allow businesses to draw actionable insights from text on a massive scale. Customizable to any industry, analyze internal and external documents, pinpoint the information in text and consumed in easy to use formats.
Free | 1 and 12 month subscriptions available.
This trial dataset is industrial-scale contextual NLP applied to thousands of news sources to develop in-depth, real-time scoring at the company level on ESG issues relating to companies globally. This excludes companies with fewer than one result per day to examine 1,227 of the largest public US companies. Sources include top international, national, regional, local, and business news plus additional Amenity-identified sources. History: daily ESG extractions, Jan 2018 - June 2021.
Price $10,000 | 1 month subscription available.
This dataset is industrial-scale NLP applied to thousands of news sources to develop in-depth, real-time scoring at the company level on ESG issues. It provides company-specific scoring on 12,000 companies globally to track portfolio and company exposures. Scoring derives from net sentiment divided by total neg. and pos. extractions in the transcript, and per ESG topic. Also includes counts making up those scores. * Paid subscriber datasets update daily.*
Free | 1 month subscription available.
Data is based on sentiment and topic analysis of quarterly earnings call transcripts with Q&A plus documents from interim events taking place in the periods between earnings: guidance calls, analyst calls, presentations (ex: investor conferences), sales and revenue calls, special situations (ex: M&A). The result is a real-time dataset that provides a significantly more accurate representation of company performance.
Free | 1 month subscription available.
This trial dataset is industrial-scale NLP applied to earnings call transcripts to develop in-depth, real-time scoring at the company level on ESG issues. It provides company-specific scoring on 12,000 companies globally to track portfolio and company exposures. Scoring derives from net sentiment divided by total neg. and pos. extractions in the transcript, and per ESG topic. Also includes counts making up those scores. *The trial dataset does not update. Paid subscriber datasets update daily.*
Price $10,000 | 1 month subscription available.
Data is based on sentiment and topic analysis of quarterly earnings call transcripts with Q&A plus documents from interim events taking place in the periods between earnings: guidance calls, analyst calls, presentations (ex: investor conferences), sales and revenue calls, special situations (ex: M&A). The result is a real-time dataset that provides a significantly more accurate representation of company performance.
Price $10,000 | 1 month subscription available.
This dataset is industrial-scale NLP applied to earnings call transcripts to develop in-depth, real-time scoring at the company level on ESG issues. It provides company-specific scoring on 12,000 companies globally to track portfolio and company exposures. Scoring derives from net sentiment divided by total neg. and pos. extractions in the transcript, and per ESG topic. Also includes counts making up those scores. *Paid subscriber datasets update daily.*
Free | 1 month subscription available.
This trial dataset is industrial-scale NLP applied to thousands of news sources to develop in-depth, real-time scoring at the company level on ESG issues. It provides company-specific scoring on 12,000 companies globally to track portfolio and company exposures. The score is the result of the net sentiment divided by the total negative and positive extractions in the previous 3 days, and per ESG topic. Also includes counts making up those scores. *The trial dataset does not update.*
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