Jharkhand is witnessing very interesting contest this election, politicians are changing their loyalty so fast that no one knows next day who will be in support/opposition. One thing politicians are forgetting that days are gone when one get votes just by name, voters are understanding their preference in a very scientific manner, We in Datamineria.com continuously gauging people mood and watching voters mood very closely, with the digital media evaluation even rural area of Jharkhand is
well connected to social media, voters are regularly coming to social media giving comments/feedback on politicians approach/conduct. At same time party loyal voters are still in good numbers, but bringing those voters to polling stations will be very important and crucial for all political parties.
Our analysis brings classification of voters into two categories in Jharkhand, one category is totally dedicated for voters who are loyal to party and changing their mood will be tough task time, Our second category for voters who are sitting on fence and who are proactive, reactive, action-oriented, have constant touch with digital as well as visual media. At the end both classified group have great faith in democracy and know well that by casting their vote they can bring change. We expect good voting turnout in Vidhansabha – 2014 election. Many political commentators or opinion polls have not recorded JMM possibility correctly, our analysis suggest JMM will surprise political pundits by its performance, they have covered the ground quite well in last few days. BJP is looking strong and this time they will sail through in many tough territories, JVM is totally dependent on Babu Lal’s charisma and with TMC alignment they have brought themselves in contest. Congress will have to adopt more aggressive campaign model, some old pockets is looking favorable for Congress.
For the Datamineria scientific forecast, we are still waiting for final round of candidate list for all the seat. We use candidate selection as one of very important parameter while forecasting voter’s mood and its impact on seat forecast.