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Microsoft Adds Hindi to Text Analytics Library

CIO Insider Team | Friday, 6 November, 2020
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CIO Insider Team

Tech major Microsoft announces the addition of Hindi as the latest language under its Text Analytics service, which is an AI service that interprets insights such as sentiment entities and key phrases in unstructured text as a part of Microsoft Azure Cognitive Services.

The new update is on course to further support businesses and organizations that deal with regional customers with customer Sentiment Analysis by helping them recognize what people think of their brand or topic as this enables analyzing Hindi text for clues about positive, neutral, or negative sentiment.

Azure Cognitive Services is powered by the latest AI models and leverage Natural Language Processing (NLP).

In a statement issued by Microsoft, Sundar Srinivasan, General Manager – AI & Search, Microsoft India, said, “Underlining our commitment to helping empower every business to achieve more, Microsoft has added Hindi to the already robust set of international languages supported by Text Analytics service. We are helping brands break language barriers and reach out to Hindi-speaking customers to understand the customer’s sentiment about their products, services, and broaden their user feedback reach. With this release, we are bringing in cutting edge cloud services, AI, and natural language processing to deepen the trust between brands and customers in India.”

Azure Cognitive Services is powered by the latest AI models and leverage Natural Language Processing (NLP). The applicability of the solution includes sentiment analysis, opinion mining, key phrase extraction, language detection, named entity recognition, and PII detection. The addition of Hindi makes the number of languages supported by the Text Analytics service 20. Other prominent languages supported include English, French, Italian, German, Spanish, Portuguese, Dutch, Swedish, Norwegian (Bokmål), Danish, Finnish, Polish, Greek, Russian, Chinese (traditional), Chinese (simplified), Japanese, Korean, and Turkish.

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