Japanese Sentiment Analysis in Teleshopping: Audio Dataset
Explore our Japanese Sentiment Analysis Dataset, a comprehensive resource with 42 hours of audio from teleshopping broadcasts, ideal for AI-driven sentiment analysis and speech recognition.
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Leverage this dataset for:
- Sales Forecasting and Product Recommendation: Consisting of extensive live recordings that capture dynamic retail marketing strategies and consumer interactions, this dataset is available in high-quality WAV format with a 44 kHz sampling rate. It provides valuable insights for enhancing product recommendations and forecasting sales trends in Japanese markets.
This dataset is ideal for
- Speech Recognition: Utilize this dataset to train AI models for transcribing and analyzing spoken content, enabling automatic transcription of product descriptions and sales pitches in Japanese teleshopping.
-Sentiment Analysis: Develop AI algorithms to precisely gauge the tone, sentiment, and emotions expressed during the shows. This analysis offers deeper insights into customer satisfaction levels and product reception, critical for understanding consumer behavior in Japanese markets.
- Voice Generation and Synthesis: Employ this dataset to train AI models that generate and synthesize speech, facilitating the creation of applications such as virtual assistants and personalized customer service experiences in Japanese.
Technical Specifications
- Type: Audio
- Quantity: 42 Hours
- Domain: Retail
- Transcription: Available as an added service
- File Format: WAV
- Sample Rate: 44 kHz
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This dataset is covered by our standard Data license agreement. The license agreement is perpetual and allows for the commercialization of all models built on the data.