Wednesday June 19, 2019

Students in Kerala to enjoy training in Sanskrit news reading

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Training will be held at Saraswathi Vidyaniketan High School, Chengamanad Image Source: svnedu1.blogspot.com

Kerala: Iyam Akashvani, Samprati Vartah Sruyanthaam, Pravachako Baladevananda Sagaraha is a line generations of radio listeners are familiar with.

Almost poetic and elucidating rendition of Sanskrit news by Baladevananda Sagar, a former senior news reader with All India Radio, might have drawn the attention of even those with little knowledge of the ancient language.

Shortly, Sanskrit students in schools across Kerala will have an opportunity to step into the shoes of the legendary news reader.

In a unique initiative, Samprativartah (www.samprativartah.in), an online Sanskrit news portal promoted by Sanskrit teachers in Ernakulam and Sarva Shiksha Abhiyan (SSA) are set to conduct a three-day training in Sanskrit news reading for school students up to Standard Eight. Incidentally, Mr. Sagar had read the first news bulletin in the portal last September when it was launched.

The training will be at Saraswathi Vidyaniketan High School, Chengamanadu, from April 20 to 22 by experienced Sanskrit news readers and teachers associated with Samprativartah.

Credits: The Hindu

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Researchers Develop New App to Detect Twitter Bots in Any Language

According to the researchers, the app is light, making it possible to classify vast amounts of data quickly and relatively efficiently

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The logo for Twitter is displayed above a trading post on the floor of the New York Stock Exchange. vOA

Researchers have developed a new application that uses Machine Learning (ML) to detect Twitter bots in any language.

The study presented at the fourth conference of Digital Humanities in the Nordic Countries shows that the application is able to detect auto-generated tweets independent of the language used.

“This enhances the quality of data and paints a more accurate picture of the reality,” said Mikko Laitinen, Professor at the University of Eastern Finland.

In recent years, big data from various social media applications have turned the web into a user-generated repository of information in the ever-increasing number of areas, said the researchers.

Twitter has become a popular source of data for investigations of a number of phenomena Because of the relatively easy access to tweets and their meta-data.

donald trump
FILE – A man reads tweets on his phone in front of a displayed Twitter logo. VOA

Twitter Bots are non-personal and automated accounts that post content to online social networks.

It has been estimated that around 5 to 10 per cent of all users are bots and these accounts generate about 20-25 per cent of all tweets posted.

For the study, the researchers analysed 15,000 tweets in Finnish, Swedish and English. Finnish and Swedish were mainly used for training, whereas tweets in English were used to evaluate the language independence of the application.

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According to the researchers, the app is light, making it possible to classify vast amounts of data quickly and relatively efficiently.

“Bots are relatively harmless, whereas trolls do harm as they spread fake news and come up with made-up stories. This is why there’s a need for increasingly advanced tools for social media monitoring”, said Laitinen. (IANS)