AssemblyAI has introduced Sentiment Analysis to their Speech-to-Text API, enabling the classification of audio sentiment as positive, negative, or neutral.
The feature works by returning sentiment labels and confidence scores for each sentence in a transcribed audio file.
Sentiment Analysis can be used for a variety of applications such as analyzing customer service calls, virtual meetings, and news coverage sentiment.
To use the feature, users need to enable 'sentiment_analysis' in their API request and will receive sentiment results in the JSON response of their transcription.
The company highlights several use cases for Sentiment Analysis, indicating its potential for improving product development, marketing, and customer service.

AssemblyAI is an AI software company that offers state-of-the-art speech recognition and natural language processing services. They specialize in transcribing audio and video files with high accuracy, providing solutions that cater to developers and businesses looking to integrate speech-to-text capabilities into their services. Their API enables easy integration, handling various accents and noise conditions effectively. The company predominantly focuses on making spoken information more accessible and actionable, offering insights through sentiment analysis, content moderation, and topic detection, thus helping organizations to enhance customer experiences, automate processes, and derive valuable data from spoken audio.

AssemblyAI

Advanced Speech AI for analyzing and summarizing voice data efficiently.

AssemblyAI Launches Sentiment Analysis Feature

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