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Content Deep Dive

2022 Benchmark Report

Blog post from AssemblyAI

Post Details
Company
Date Published
Author
Lee Vaughn
Word Count
1,386
Company Posts That Month
11
Language
English
Hacker News Points
-
Post removed?
No
Summary

The files contained several sensitive pieces of data such as names, addresses, dates of birth, phone numbers, email addresses, credit card numbers, medical records, and financial information. The PII Redaction feature successfully detected and redacted all of this sensitive information in the transcriptions generated by the AssemblyAI Speech-to-Text API. The Content Safety Detection model flagged some potentially risky content such as hate speech and weapons references. The sentiment analysis results indicated that there were more positive sentiments than negative ones in the recordings. The Summarization feature automatically segmented the files into chapters and generated brief summaries for each chapter. Finally, the Entity Detection model accurately identified various entities present in the transcriptions such as people's names, organizations, locations, dates, times, quantities, percentages, currencies, email addresses, URLs, phone numbers, social security numbers, credit card numbers, medical conditions, and treatments.

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