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Azure Text Analytics

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What is Speak?

Effortlessly transform your language data into insightful information without the need for any coding skills. Become part of a thriving community of over 10,000 businesses, researchers, and marketers who are utilizing Speak to reduce manual workloads, gain a competitive advantage, cultivate stronger customer relationships, and improve their decision-making processes. Speak offers robust support for a variety of crucial organizational tasks, such as qualitative research, academic inquiries, marketing evaluations, and competitive analysis. With user-friendly features that facilitate both individual and bulk uploads of audio, video, and text data, users can swiftly convert audio and video files into text via automated transcription, import CSV files for detailed examination, and utilize an embeddable recorder for capturing important recordings. Furthermore, you can generate content directly within the Speak platform or link with popular applications to optimize data collection. Whether analyzing customer interviews, Zoom calls, YouTube videos, podcasts, focus group conversations, Amazon reviews, tweets, or other vital sources of qualitative feedback, Speak enables users to extract actionable insights that foster competitive advantages and guide strategic decisions. By leveraging the capabilities of Speak, organizations not only boost their operational efficiency but also deepen their comprehension of customer preferences and market dynamics. This powerful tool ultimately serves as a catalyst for informed decision-making, positioning businesses for success in an ever-evolving landscape.

What is Azure Text Analytics?

Harness natural language processing to gain valuable insights from unstructured text without requiring any machine learning knowledge, by utilizing an array of features from the Cognitive Services for Language. Elevate your understanding of customer emotions through sentiment analysis and identify key phrases and entities such as people, places, and organizations to uncover common themes and patterns. Use specialized, pretrained models to classify medical terminology specific to various fields. Evaluate text across multiple languages and reveal essential concepts within the content, which include key phrases and named entities that highlight individuals, events, and organizations. Delve into customer feedback regarding your brand while examining sentiments linked to specific topics through opinion mining techniques. Additionally, derive critical insights from unstructured clinical documents, including doctors' notes, electronic health records, and patient intake forms, by applying text analytics tailored for healthcare settings, ultimately enhancing patient care and informing decision-making processes. By integrating these advanced capabilities, organizations can stay ahead of trends and better meet the needs of their stakeholders.