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Amaravati to be headquarters of IUIH Medicity in the country

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Require Intermediate results using live audio with Watson’s Speech to text (websockets)

I am working on IBM Watson’s Speech-to-Text (Websockets). I want to use a microphone which takes my audio input in chunks and as soon as a chunk of audio is recieved it is converted into text using websockets just like that happens in Google voice search.

Here is a code that i found. This code does so what i want but it takes pre-recorded audio files which is not my requirment.
https://github.com/watson-developer-cloud/speech-to-text-websockets-python/blob/master/sttClient.py

Can anybody please help me to achieve my required goal? Is there anybody who can provide some code sample of what i am willing to do? or can tell me how should i edit the above code so that it fulfills my requirement?

Its Urgent !! Please help !!

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All That Twitters Is Not Gold

Politicians across parties and ideologies are using ‘bots’ or fake followers on websites and are paying for them too to boost their popularity, writes Vivashwan Singh

Modi Twitter Politicians today are fighting battles not only on the ground but also on social networking websites. Politics is about perception and the , since the last few years, has been successful in setting the perception that Prime Minister is India’s most popular political leader. This perception was created in light of the fact that Modi has the maximum number of followers on among all Indian leaders.

These days most usually turn to to attract young voters. All major political parties like the , , AAP, and even CPI(M) which was in fierce opposition to Rajiv Gandhi’s vision of a computerised India, have their and Facebook accounts. Every political party is recognising the potential of .

However, this sudden craze of has been doing more harm than good as various handles started using ‘bots’ (fake followers) to boost their popularity and political strength. For those who are new to the term, a bot, also called Internet bot, is a content that runs automated tasks over the Internet. It is intended to perform repetitive tasks in a haste and on a vast scale. A client purchases this service by paying a premium and gets likes for Facebook posts, retweets on or followers on Instagram. These ‘followers’ are not people, but rather computerised programs.

started using in 2009 and attracted one lakh followers by 2010.  He had four lakh followers in 2011 and his following on kept increasing exponentially. Modi, who is often accused by leaders of misleading people with figures, had around 50 per cent of his followers as fake as per an article in The Economic Times in 2012. Furthermore, the prime minister’s followers more than doubled in 2014, followed by a meteoric rise of 12.1 million followers in May 2015. This suspicious rise in fan following of a person clearly indicates that his followers are not real but ‘bots’. If you are wondering how this works then there are many Indian and foreign-based companies such as flymesocial.com that use such accounts to follow people. Websites such as Fiverr.com will sell you 1,000 followers for as low as USD 5.That’s the reason why you can see many common followers between the most uncommon people.

According to a report by Anu Raghunathan in Forbes magazine, ’s account added 2,80,000 followers in a single day on 7th April 2015. It might not be unusual for global leaders to have a surge of followers on one single day, if a historic event does occur. But, there was nothing special about that day. Modi’s tweets for that day were on a music festival and World Health Day. ’s unconvincing rhetoric on this sudden surge on April 7 was that it happened because Modi’s off-line followers had been added to his online following. (The offline followers were following Modi via text through their mobile phones.)

The Hindu reported that followers of Modi’s handle included names like lutfije istrefi, Michaele Brocious, Shantelle Enterline and Marlana Holstrom. One of them had a username comprising random characters: @Gwinhnfdh. Another equally shocking report published in The Indian Express prior to the 2014 general elections, which went unnoticed, claimed that Modi had a whopping 62 per cent fake followers. An analysis of handles in the past has shown that there are some signs of suspected bot accounts. Firstly, fake handles will have several random numbers which an ordinary person would struggle to remember. For example, accounts such as @9560580341 @9561415109 @9574880779@9601436788@9631013051 @9647413363 @9649553815 just follow one handle which is none other than that of . Likewise, @lingyi8763693 , @Rajan68299541 or @7c6f54bbc3564d7 are zero-tweet handles following DMK leader Kanimozhi on , three among the many similar ones of her over one million followers. Fake followers don’t have a profile photograph, a large portion of them have egg photograph which is the default picture for new accounts. Furthermore, these accounts don’t have any followers and don’t tweet anything since they signed up. Most of our prime minister’s online followers meet all these criteria.  During a random check, on 1st October 2013, 4:31 pm, the 10 latest followers on his account had zero tweets (except one who had three) and 0-7 followers. There have been instances when was in the middle of touring Afghanistan, Qatar, Switzerland, USA and Mexico and his followers were trending his hashtags from Suhan Buri, a state in central Thailand.

Pratik Sinha, the founder of fake news buster AltNews.in had developed a software known as TW followers tool in order to analyse the suspicious fan following of , celebrities and journalists. While analysing 2.5 million twitter followers of PM Modi, he claimed that 45.73 per cent followers didn’t have any profile picture, 36.82 per cent had never tweeted, and 28.25 per cent had no followers themselves. Isn’t that a little odd? Let’s assume there might be some people who are ardent Modi fans and have signed up just to follow him, and being private persons some of them don’t want to have a profile picture. But 46 per cent percent followers without profile pictures is definitely strange. It’s a known fact that quantity isn’t quality but nobody needs to miss the mark in the wars since the think that more attention will be paid to them if they have the numbers.

 News agency ANI recently released a story suggesting that a chunk of vice-president ’s followers are automated handles from places such as Kazakhstan, Russia and Indonesia.  ANI praised the ‘resurgence’ of on to a news report claiming that the had roped in Big Data analytics firm Cambridge Analytica for a more rigorous campaign to attract voters. Fake followers and bots can potentially play a role in affecting public opinion close to elections. The Cambridge Analytica was previously in the news during the last US Presidential election for advising Donald Trump in precision voter targeting based on online habits of voters in different states. Which ever party plays the game better will win the minds of the electorate ahead of the crucial Himachal Pradesh and Gujarat polls. But the fact remains that bots are used across party lines, and no one can claim to be better than the other.

  Audit is a US based tool which assesses whether a user’s followers are phoney or genuine by investigating the number of tweets, date of the last tweet, and proportion of followers to friends. This tool might not be immaculate, but it is a decent approach to tell if handles with millions of followers have probably expanded their fan base by fraudulent or deceptive means. It was cofounded by David Caplan, who refers to himself as a hacker, scientist and a startup addict.

The Telegraph had run an audit on the US presidential candidates using Audit to find out which candidate had the most number of fake followers. In the article appearing on 11th February, 2016 it was revealed that Hillary Clinton had 41 percent fake followers while Trump had 36 percent fake followers. The audit of PM Modi’s personal account and ’s accounts revealed that while Gandhi’s audit score is 51 percent (meaning 49 percent fake followers) Modi stands at 37 percent with 63 percent fake followers i.e, 22,003,269 suspicious accounts following him.

Rahul TwitterEven official handle of PMO India has shocking 61 percent fake following. The handles of other prominent leaders such as Rajnath Singh, Shivraj Singh Chouhan and Amit Shah have more than 60 percent fake followers. The account of CPI (M) general secretary Sitaram Yechury, the most visible face of the Left, has a score of 93 per cent which is negligible in contrast, but still has 7 percent fake followers.

Its a bitter truth that instead of using for interaction with real people, a few including the prime minister and home minister of the world’s largest democracy are using it to just fake their popularity. Bots are nothing more than a dishonest form of using , observing the given stats and methods, it is quite clear that want their presence felt on , but are not following the right path to achieve it. All that glitters is not gold but all that twitters is definitely not gold.

 The writer is a contributor to Tehelka and the views expressed are his own.

 

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Russian military admits significant cyber-war effort

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Big data, IoT in engineering course from next year

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http 400 – Websockets with WAS 9 and IIS

hi,

i have setup a was9 environment with java 8 for supporting a websockets application ( using cometd)

the applications works when i use the direct port of the application server ( port 9082)

but when i use IIS + plugin it returns a http code of 400.

i have installed websockets support into IIS but that didnt solved the question.

Do you know if the combination IIS+Plugin was9 , works for websockets?
(searched around and notice tat only works for apache based browsers – did it changed=)

thks,
Joao Mota

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Science & technology department to take 50000 girls under its wing

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Twitter Pushes Premium APIs To Developers

Twitter on Tuesday debuted what it is calling “premium APIs.”

For a fee, the service is designed for small- to medium-sized developers interested in adding morepremium features to their apps.

A new historical search feature, for instance, is offering developers access to tweets tweeted over the past month. In time, Twitter hopes to extend the scopeof this new feature to encompass its entire historical database of tweets.

More broadly, “the new premium APIs bring the reliability and stability of our enterprise APIs to our broaderdeveloper ecosystem,” Adam Tornes, a senior product manager at Twitter, notes in a new blog post.

As for price, Tornes is promising “flexible”month-to-month contracts, and scaled tiers of access based on the number of requests Twitter recieves. For now, pricing for elevated tiers of the Search Tweets API starts at $149 a month.

Twitter is also introducing a new self-serve developer portal, which should give developers more transparent access to their data usage.

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Lately, the social giant has been catering tomid-level developers and publishers.

Earlier this month, Twitter rolled out a Promote Mode service, which — for a flat monthly fee of $99 — is designed to help small businesses andaspiring influencers run ad campaigns on the platform.

Along with a healthy bump in monthly users, Twitter reported better-than-expect third-quarter sales last month. While quarterly revenueof $590 million was down 4% year-over-year, it was still better than what analysts had predicted.

From the second quarter of the year to the third, average monthly active users(MAUs) were up 4% to 330 million, while daily active users (DAUs) were up 14%, year-over-year.

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Advanced data analytics suggest Australia mostly voted ‘No’ in the same-sex marriage survey

Written by on Nov 02, 2017

By now, if you haven’t mailed off your same-sex marriage survey, then your vote won’t count – which is very good news only if you planned to vote ‘No’.

Some terrible, terrifying news came from The Conversation, however, who have used advanced data analytics to predict the likely outcome of the vote – and it isn’t looking good.

The system they used was developed at Griffith University’s Big Data and Smart Analytics Lab, and predicted Trump’s victory last year. As they explain, these analytics have “proven uncannily accurate at predicting the outcomes of hard-to-call polls.”

So, they looked at 458,565 ‘anonymised’ Australian tweets referencing same-sex marriage in October, weighed the sentiment of these tweets, then analysed the data.

72% of these Tweets were in favour, which seems like good news, until you realise that many users tweeted out numerous messages in support of same-sex marriage – over a thousand in some cases.

458,565 tweets comes down to just 207,287, with 57% in favour.

This is worse, but still acceptable.

Naturally, though, the demographics of those who Tweet certainly don’t match the voting population. Less than 15% of tweets were made by over-55s, who make up 36% of voters.

Adjusting the tweets to represent the age and gender make up of our voters, and the YES vote drops to 49%.

Sorry.

Of course, polls such as these aren’t super reliable. Those who tweet about social issues tend to be heavily on either side, meaning those with more moderate views, or who simply don’t need to broadcast their every opinion, aren’t collected in such a survey.

I suppose we will have to wait and see what the results say. Then, if the answer isn’t what we want: Riot. Revolution. Something.

Check out The Conversation for a more detailed data breakdown.

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