Knowledge discovery from social media using big data-provided sentiment analysis SoMABiT

摘要: In today's competitive business world, being aware of customer needs and market-oriented production is a key success factor for industries. To this aim, the use efficient analytical algorithms ensures better understanding feedback improves next generation products. Accordingly, dramatic increase in social media daily life provides beneficial sources market analytics. Yet how traditional analytic methods can be scaled up such disparate multistructured data major challenge. This paper presents discusses technological scientific focus SoMABiT as analysis platform using big technology. Sentiment has been employed order to discover knowledge from media. The MapReduce development distributed algorithm towards an integrated that scale any volume provide media-driven main novelty proposed concept comparison state-of-the-art technologies.