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Social media for news consumption is a double-edged sword. Traditional Social media analytics applications existing so far, are considering the raw information (Tweets / posts / news) from various social media platforms such as Twitter, Facebook, Instagram, YouTube, News feeds etc… for performing the behavioural analysis, sentiment analysis.
There is always a likelihood that social media content consists of fabricated news stories, with the intent of mislead. Fake content proliferation on social media is very difficult to control once it turns out viral. Moreover, advanced analytics such as behavioural analysis, Profile analysis and sentiment analysis based on the fake content turns out more damaging in terms of insights generation.
Hence to utilize the social media content in constructive way, software SBU of BEL Bangalore has developed an Artificial intelligence-based Collaborative social media analytics platform; with advanced computational models using Machine Learning, Deep Learning, Natural Language Processing (NLP) etc.
The solution is useful in Smart cities/ Safe cities/ Law enforcement applications towards performing Collaborative social media analytics and can help communities make more informed decisions. Further, Users can capture real sentiments and behaviours of people and refine future policies / plans accordingly.
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