The style icon of Bollywood Sonam Kapoor has jumped to the top spot of the popularity charts of Score Trends India post the release of his most anticipated film PadMan.
Sonam Kapoor surprisingly has surpassed Deepika Padukone, who held the No. 1 position in Score Trends data since past 5 week for her majestic role in Padmaavat.
These statistics are authenticated and researched by the US-based media tech startup Score Trends India.
"We collect data from over 600 news sources across 14 languages in India to analyse the media from Thursday to Thursday," explained Ashwani Kaul, co-founder of Score Trends. "These include Facebook, Twitter, print publications, viral news on social media, broadcast and digital platforms. Various sophisticated algorithms then help us to process this massive amount of data and arrive at the scores and rankings of Bollywood stars."
According to the statistics, Sonam Kapoor who was in the third position for the period February 1 to 8, with a score of 44.97 points, shot up to 68.70 points for the period February 8 to 15 registering a growth of 23.73 points. And Deepika, who was riding high at No. 1 position for the period February 1 to 8 with 75.85 points, fell to fifth position with a score of 54.41 points - a loss of 21.44 points.
What worked in Sonam's favour is her soaring popularity on Facebook, Twitter, viral news, newspapers and digital sites post PadMan's release.
Whereas Priyanka Chopra, who is in the second position for the period February 8 to 15 with 67.19 points, was at No. 4 for February 1 to 8 with 37.37 points. The International icon for India registered a phenomenal global growth of 29.82 points to climb up two spots. And the reason for his rising graph as per Score Trends on all the same media platforms was her bold interview given to a leading film magazine where she disclosed that she was in a serious relation.
Explaining how data and algorithms play a huge role in the media tech space at Score Trends, Ashwani Kaul said, "Automated algorithms provide an unbiased score to each celebrity based on numerous factors. Cutting edge technologies such as Machine Learning and Artificial Intelligence are used to clean and associate data. The summarised data then passes through various quality controls which include human verification of each of the parameters every week before the scores are published."
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