Social media is popular in our society right now. People are using social media platforms to purchase various products. We collected the data from various social media platforms. We analyzed the data for prediction of the consumer behavior on the social media platform. We considered the consumer data from Facebook, Twitter, Linked In and YouTube, Instagram, and Pinterest, etc. There are diverse and high-speed, high volume data which are coming from social media platform, so we used predictive big data analytics. In this paper, we have used the concept of big data technology to process data and analyze it to predict consumer behavior on social media. We have analyzed consumer behavior on social media platforms based on some parameters and criteria. We analyzed the consumer perception, attitude towards the social media platform. To get good quality of result, we pre-process data using various data pre-processing to detect outlier, noises, error, and duplicate record. We developed mathematical modeling using machine learning to predict consumer behavior on the social media platform. This model is a predictive model for predicting consumer behavior on the social media platform. 80% of data are used for training purposes and 20% for testing.

社交媒体现在在我们的社会中很流行。人们正在使用社交媒体平台购买各种产品。我们从各种社交媒体平台收集了数据。我们分析了这些数据，以预测社交媒体平台上的消费者行为。我们考虑了来自Facebook，Twitter，Linked In和YouTube，Instagram和Pinterest等的消费者数据。社交网络平台提供了各种各样的高速，高容量数据，因此我们使用了预测性大数据分析。在本文中，我们使用了大数据技术的概念来处理数据并对其进行分析，以预测社交媒体上的消费者行为。我们已经基于一些参数和标准分析了社交媒体平台上的消费者行为。我们分析了消费者对社交媒体平台的看法和态度。为了获得良好的结果质量，我们使用各种数据预处理对数据进行预处理，以检测异常值，噪声，错误和重复记录。我们使用机器学习开发了数学模型，以预测社交媒体平台上的消费者行为。该模型是用于在社交媒体平台上预测消费者行为的预测模型。80％的数据用于培训，而20％的数据用于测试。