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AI for Universal Audio Understanding: Qwen-Audio Explained

AssemblyAI

Unlike the fields of image and language processing, which have seen the development of foundational models transforming how AI systems interact with visual and textual data, the realm of audio processing has largely lacked such a unifying framework.

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How to Use Speech AI for Healthcare Market Research

AssemblyAI

Organize, Categorize, and Annotate for Deeper Insights Searchable media  enables better organization and archiving of research data, allowing researchers to tag and categorize audio segments based on topics or keywords. Here are different ways they're using Speech AI to make it happen: 1.

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The Power of Self-Managed Content

Unite.AI

The sensei knows where his or her energetic resources lie and how to harness them effectively depending on the context of a particular technique. Self-managed content refers to the use of AI and neural networks to simplify and strengthen the content creation process via smart tagging, metadata templates, and modular content.

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How to use AI to build powerful market research tools

AssemblyAI

This article examines how AI models can be leveraged to help market research platforms build powerful tools that can: Transcribe asynchronous and live voice and video feedback to make review and analysis more efficient. Produce digestible insights that can be easily categorized, tagged, and searched. What is a market research platform?

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How to Package and Price Embedded Analytics

How much value could you add? This framework explains how application enhancements can extend your product offerings. Just by embedding analytics, application owners can charge 24% more for their product. Brought to you by Logi Analytics.

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How Part-of-Speech Tag, Dependency and Constituency Parsing Aid In Understanding Text Data?

Analytics Vidhya

Overview Learn about Part-of-Speech (POS) Tagging, Understand Dependency Parsing and Constituency Parsing Introduction Knowledge of languages is the doorway to wisdom. . The post How Part-of-Speech Tag, Dependency and Constituency Parsing Aid In Understanding Text Data? appeared first on Analytics Vidhya.

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A Brief Guide on how to build a Named Entity Extraction (NER) Model with Apache OpenNLP Library

Analytics Vidhya

It has many features, including tokenization, lemmatization, and part-of-speech (PoS) tagging. The post A Brief Guide on how to build a Named Entity Extraction (NER) Model with Apache OpenNLP Library appeared first on Analytics Vidhya. Named Entity Extraction (NER) is one feature that can assist us to comprehend queries.