Monday, May 18, 2015

Indian Judges Beat Sentiment Analytics! Hands Down!

The new trend in Indian court judgments involving ‘high profile’ personalities is baffling! These cases have been running since so many years and not only the case stakeholders but also the ‘aam aadmi’ [common man] knows what the issue behind these cases was. In other words, it is a public secret and everyone knows who did what, who committed the crime, and finally, what happened!

There is a saying since olden days that the ‘law of the land’ is nothing but what ‘citizens of the land feel right’! Earlier days, kings used to follow the same rule; public perception matters a lot! One can read this kind of instances in our holy scriptures. For example, Lord Sri Rama vs. Sita [his wife!] episode in Ramayana! However, nowadays, public perception has become a gimmick! 

Nowadays, Indian judges are giving mind boggling, earth shattering, and jaw dropping judgments that are creating ‘helpless’ tsunamis in the hearts of a common man. These judgments are taking the ‘belief’ wind out of his ‘life’ sail!  When the whole gamut of a country is thinking and expecting that a case’s judgment would be in a particular way [punishment for the alleged criminal!], the final judgment was delivered in a different way [criminal acquitted!].  

However, this blog is not about finding the nuances of the above said judgment but about what would have happened if someone uses ‘sentiment analytics’ engine to find out the pulse of the people regarding the ‘so called’ alleged criminals and their committed crimes [before the final judgment!] to guess how many years of punishment would have been awarded to them by the ‘so called’ case processing judge! 

As you know, any sentiment analytics engine plugs in to so many social feeds to gather and analyze so many discussions, statements, etc., to understand and derive a score [positive/negative] about a particular search keyword.  

Now, sentiment analytics helps us to perceive the public perception; what they have been thinking and discussing about a particular event or cause? In this case, what sort of results does the common man get? Are they in sync with what has been happening as per the recent judgments? If not, then there is a problem with the sentiment analytics functioning [but not the judge’s judgment!]; something is missing somewhere which the engine builders have not factored in!  

This blog begs the answer for following question: Can’t we predict the exact judgment polarity before the judgment using sentiment analytics in Indian law context?

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