This story on HackerNoon has a decentralized backup on Sia.
Transaction ID: b7j0LXvReXPn4ZpdKAsNYfaUlOk6ns0xuIoTKXG5ieg
Cover

You Are Totally Going To Love My 2020 USA Candidates' Speeches Analysis

Written by @tyiannak | Published on 2020/10/8

TL;DR
Using 30 videos from January 2020 to September 2020, we have used speech analytics to show how the two candidates have been speaking about during the last year. We have used 35 videos from speeches from both candidates (around 2 speeches per month on average) to extract our analytics. The raw audio data from the speeches were analyzed in terms of the speakers emotions and behaviors using Behavioral Signals Oliver API. In particular, we focused on the speech emotional strength (arousal) and speech emotional positivity (also known as valence) This second level of analysis will provide a metric on how the candidates have spoken during that period.

[story continues]


Written by
@tyiannak
I make algorithms that understand sounds

Topics and
tags
machine-learning|speech-recognition|text-mining|us-election|donald-trump|joe-biden|emotion-recognition|hackernoon-top-story
This story on HackerNoon has a decentralized backup on Sia.
Transaction ID: b7j0LXvReXPn4ZpdKAsNYfaUlOk6ns0xuIoTKXG5ieg