City
Epaper

Microsoft adds Hindi to its Text Analytics service

By IANS | Updated: November 5, 2020 13:25 IST

New Delhi, Nov 5 Microsoft on Thursday said it has added Hindi to its Text Analytics service to ...

Open in App

New Delhi, Nov 5 Microsoft on Thursday said it has added Hindi to its Text Analytics service to help businesses strengthen customer support through complete analysis of user perception and feedback in the most widely spoken language in India.

Text Analytics is part of the Microsoft Azure Cognitive Services.

The functionality provided by Text Analytics include sentiment analysis, opinion mining, key phrase extraction, language detection, named entity recognition, and Personally Identifiable Information (PII) detection.

Using this service, organisations can find out what people think of their brand or topic as this enables analysing Hindi text for clues about positive, neutral, or negative sentiment.

The Text Analytics service can be used for any textual / audio input or feedback in combination with Azure Speech-to-Text service, Microsoft 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," Sundar Srinivasan General Manager AI & Search Microsoft India, said in a statement.

"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."

Microsoft's Text Analytics service uses AI models to analyse content in Hindi, using Natural Language Processing (NLP) for text mining and text analysis.

Its Sentiment Analysis feature evaluates text and returns confidence scores between 0 and 1 for positive, neutral, and negative sentiment for each document and sentences within a document.

The service also provides sentiment labels (such as "negative", "neutral" and "positive") based on the highest confidence score at a sentence and document-level.

"This helps brands in detecting positive and negative tonality in customer reviews, social media and call centre conversations, and forum discussions, among other channels no matter where their data resides," said the company.

( With inputs from IANS )

Disclaimer: This post has been auto-published from an agency feed without any modifications to the text and has not been reviewed by an editor

Open in App

Related Stories

Lifestyle6 Minimalist Earrings by Diana Penty to Enhance Your Western Wardrobe

HealthIRDAI slaps Rs 5 crore penalty on Policybazaar for various violations

BusinessIRDAI slaps Rs 5 crore penalty on Policybazaar for various violations

NationalIRDAI slaps Rs 5 crore penalty on Policybazaar for various violations

NationalDrone threat looms over India-Bangladesh border: Security agencies on high alert

Technology Realted Stories

TechnologyAkzo Nobel India net profit falls 20 pc to 91 crore in Q1; revenue down 4 pc

TechnologyDoT slashes security test evaluation fees by up to 95 pc to boost telecom innovation

TechnologyIndia should prioritise industrial electronics to become manufacturing leader

TechnologyGovt extends special registration drive for pregnant, lactating women till Aug 15

TechnologyAyush Ministry, NMPB sign MoUs to boost conservation, awareness of medicinal plants