Azure Language Understanding is a cloud-based conversational AI service that applies custom machine-learning intelligence to a user's conversational, natural language text to predict overall meaning, ...and pull out relevant, detailed information. Read more
The top three of Azure Language Understanding’s competitors in the NLP And Text Analytics category are Hugging Face with 18.88%, Dragon NaturallySpeaking with 15.74%, IBM Watson Assistant with 13.94% market share.
The top three of Azure Language Understanding’s competitors in the NLP And Text Analytics category are Hugging Face with 18.88%, Dragon NaturallySpeaking with 15.74%, IBM Watson Assistant with 13.94% market share.
Around the world in 2023, over 153 companies have started using Azure Language Understanding as NLP And Text Analytics tool.
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The three top industries that use Azure Language Understanding for NLP And Text Analytics are Artificial Intelligence (13), Cloud (10), Machine Learning (10).
The majority of Azure Language Understanding’s customers for the nlp-and-text-analytics category fall in the company size of 10,000+ employees (59 companies), 1,000 - 4,999 employees (25 companies), 100 - 249 employees (19 companies).
The top three geographies of Azure Language Understanding for nlp-and-text-analytics are the United States with 66(42.04%), India with 17(10.83%), United Kingdom with 11(7.01%) customers respectively.
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Azure Language Understanding’s Top competitors in the nlp-and-text-analytics category are Hugging Face, Dragon NaturallySpeaking, IBM Watson Assistant. You can view a full list of Azure Language Understanding competitors Azure Language Understanding vs Hugging Face Azure Language Understanding vs Dragon NaturallySpeaking Azure Language Understanding vs IBM Watson Assistant .
. 6sense uses advanced data mining and AI algorithms to track customers and of Azure Language Understanding and 40,000 other technologies on the internet.You can also compare Azure Language Understanding and its feature with top competitors here :The majority of Azure Language Understanding’s customers for the nlp-and-text-analytics category fall in the company size of 10,000+ employees (59 companies), 1,000 - 4,999 employees (25 companies), 100 - 249 employees (19 companies). You can view a distribution chart of Azure Language Understanding customers by company size
.Azure Language Understanding has market share of 5.35% in nlp-and-text-analytics market. Azure Language Understanding competes with 23 competitor tools in nlp-and-text-analytics category. The top alternatives for Azure Language Understanding nlp-and-text-analytics tool are Hugging Face with 18.88%, Dragon NaturallySpeaking with 15.74%, IBM Watson Assistant with 13.94% market share.
Top industries that use Azure Language Understanding for nlp-and-text-analytics are Artificial Intelligence (13), Cloud (10), Machine Learning (10).
Around the world in 2023, over 153 companies have started using Azure Language Understanding as nlp-and-text-analytics tool. Companies using Azure Language Understanding for nlp-and-text-analytics are majorly from United States with 66 customers. 42.04% of Azure Language Understanding customers are from the United States. Other top countries using Azure Language Understanding are India and United Kingdom with 17(10.83%) and 11(7.01%) customers respectively.
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