• Sold by Amenity Analytics

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.*

• Sold by Amenity Analytics

Free | 1 month subscription available.

This trial dataset provides sentiment and topic analysis of earnings call transcripts for a variety of key issues related to impact of COVID-19. Natural language processing and sentiment analysis is applied to transcripts to derive a numerical score (signal). The score results from the net sentiment divided by total negative and positive extractions in the transcript. Also includes counts making up those scores. *The trial dataset does not update. Paid subscriber datasets update daily.*

• Sold by Amenity Analytics

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.*

• Sold by Amenity Analytics

Price $3,000 | 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 COVID 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. Also includes counts making up those scores. * Paid subscriber datasets update daily.*

• Sold by Amenity Analytics

Price $10,000 | 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. *Paid subscriber datasets update daily.*

• Sold by Amenity Analytics

Price $2,500 | 1 month subscription available.

This dataset provides sentiment and topic analysis of earnings call transcripts for a variety of key issues related to impact of COVID-19. Natural language processing and sentiment analysis is applied to transcripts to derive a numerical score (signal). The score results from the net sentiment divided by total negative and positive extractions in the transcript. Also includes counts making up those scores. *Paid subscriber datasets update daily. Existing clients get dataset for free*

• Sold by Amenity Analytics

Free | 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 COVID 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. Also includes counts making up those scores. * Paid subscriber datasets update daily.*

• Sold by Amenity Analytics

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. 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.*

• Sold by Amenity Analytics

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