Indian app Koo introduces new Topics feature in 10 languages

Social media platform, Koo has rolled out an in-app feature Topics throughout 10 languages. Koo claims that the Topics feature presents a personalised expertise to multi-lingual customers. Koo will probably be enabling allow this feature in 10 Indian languages ​​– Hindi, Bangla, Marathi, Gujarati, Kannada, Tamil, Telugu, Assamese, Punjabi and English. Also Read – Amid Twitter takeover, Koo declares plans to overhaul the American firm in India

Koo claims to have a various demographic of customers. Using the new Topics feature, customers view solely the form of content material which is related to them. This supplies the person with an expertise extra centered on their likes. Also Read – Koo makes modifications to Android, iOS app, brings new search feature: Check particulars

Topics goals to make it simpler for customers to choose and select content material as per their curiosity and preferences, as a substitute of scrolling by means of the automated feed on the platform. A person in search of information and knowledge associated to well being (for instance) can click on the well being part underneath the Topics tab to devour all related Koos pertaining to vaccination, life-style ailments, healthcare suggestions from medical consultants, and many others. Also Read – How to make use of Govt ID to get inexperienced tick verification on Koo app

Says Mayank Bidawatka, Co-founder, Koo, We are proud to be the primary social media platform to launch subjects throughout 10 Indian languages. This feature helps customers discover content material they’re in and helps many creators get found by related customers. We have over 20 million subject follows each month, exhibiting the relevance of this feature to customers. We obtain subject classification by means of complicated machine studying fashions which have a really excessive stage of precision. We are proud to have mastered such complexity in a brief span of our existence. I foresee over 100 million subject follows each month by the tip of this 12 months.

Harsh Singhal, Head of Machine Learning, Koo mentioned, “Topics in multiple languages ​​is a combination of many state-of-the-art Machine Learning and Natural Language Processing (NLP) techniques. NLP technologies for Indian languages ​​do not enjoy the extensive ecosystem that is available for English. Koo innovated in a variety of areas to implement Indian language NLP tasks to build Topics across Indian languages. The Machine Learning team at Koo trained LLMs (Large Language Models) and some of the most complex neural network architectures to extract important entities being discussed in a Koo. Koo probably has one of the widest variety of subjects being discussed everyday in India. Given this reality, achieving what we have is a huge deal for India. The exciting thing is that this is just the beginning for us!”


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