Full Context
Extract Transcripts, Summaries, Key Points and Questions from any pre-recorded conversation. This creates a comprehensive backdrop, ensuring that the nuances of the discussions are retained.
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API-based Infrastructure for human conversation deep analysis
Extract Transcripts, Summaries, Key Points and Questions from any pre-recorded conversation. This creates a comprehensive backdrop, ensuring that the nuances of the discussions are retained.
Dive into the heart of team interactions with the Group Dynamics Layer. Here, Meetra AI captures the overall Sentiment, Energy, Interactions, and Balance of the conversation.
At the Topic Overlay level, Meetra AI zeroes in on specific discussion points. This means going beyond general conversation dynamics to pinpoint specific Topics, identify the main Contributors, and assess Sentiment, Energy, and Interaction Patterns around these focal points. With this deep dive, teams can unearth pivotal moments in the conversation and their subsequent ripple effects.
The Fluctuation Layer is all about tracking the ebb and flow of conversations. By monitoring Energy and Sentiment fluctuations, alongside interactions and individual emotion changes over time, Meetra AI provides a dynamic representation of the conversation’s trajectory.
Recognizes speakers that have already been named
Provides full transcripts and summaries of the conversation’s audio content
Identifies and lists key points and questions raised during the conversation
Detects and lists topics and keywords discussed throughout the conversation.
Provides strength and frequency of interactions between participants
The energy level in a conversation based on talk time, interactions and emotions.
Analyzes the overall sentiment and emotions throughout a conversation
Balance of participation among speakers according to MIT TeamSpeak coefficient
Tracks changes in energy and interaction levels throughout the conversation
Monitors shifts in sentiment during the conversation including individual emotions
Lists topics discussed in the conversation in defined time intervals.
Identifies speakers who contributed to specific topics
Measures the sentiment and group energy associated with specific topics.
Maps speaker interactions around specific topic
Get in touch and let’s kick-off your next AI application or integration project with Meetra AI
