• Ramin Agha Amin
• Kunwar Babar Ali

Abstract: Current analysis of social sciences approaches in data analysis can be divided in to four part which are 1.text analysis, 2.social network analysis,3.social complexity, and also 4. social simulations However, when it comes to organizational and societal units of analysis, there exists no way to explain the concept, articulate the model, analyze the data, explanations, and prediction social media interactions as people’ associations with thoughts, values, identities, opinions and so on. To solve this limitation, based on the analysis of data science and ML (Machine Learning, this paper presents a new way to data analytics called Social Analysis: A Data Science Theoretical Approach to Big Data Analytics

Social Analysis, Customer Behavior, Sentimental Analysis, Data Science, Python, Machine Learning, Analysis, Trend Analysis, Forecasting, Opinion Prediction.

"Social Analysis: A Data Science Theoretical Approach to Big Data Analytics", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.123-132, May-2019, Available :http://www.jetir.org/papers/JETIR1905122.pdf

"Social Analysis: A Data Science Theoretical Approach to Big Data Analytics", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp123-132, May-2019, Available at : http://www.jetir.org/papers/JETIR1905122.pdf