Simple Listening Notes' AI analytics engine provides triple intelligent processing capabilities:
1. Core summary generation
By analyzing the semantics of the text through the BERT model, the long content is automatically compressed into a 100-300 word summary, retaining the core arguments, important data and concluding statements. For example, the 1-hour meeting recording is refined into a structured summary of "three key points of product iteration + two directions of market strategy".
2. Knowledge mapping
Sematic Analysis technology is used to identify entity relationships in the content, generating visual maps containing elements such as characters, events, timelines, and so on. This is particularly effective for handling complex content such as interviews and academic lectures.
3. Multidimensional analytical statements
- Keyword cloud: demonstrating high-frequency terms and topic buzz
- Sentiment analysis: labeling positive/negative emotional tendencies in statements
- Separation of speakers: separating content paragraphs for different speakers
All analysis results support secondary editing and can be exported as analysis report templates for direct use in conference proceedings or research materials.
This answer comes from the articleSimple Listening Note: Baidu's audio/video to text and AI summarization toolThe
