• Abhay Mohan Gupta
• Shikha Agrawal
• Rajeev Pandey

With the evolution of Machine learning in the field of computer science and engineering, its application in different domain also grew like in Medical, Marketing, Telecommunication, Finance, etc. The reason for the growth of popularity of machine learning in these domains is the high accuracy prediction. This is why stock return prediction became very popular in this field over past few years. Apart from this, various studies also claimed that the Investor’s sentiment also important for stock return prediction and using their sentiments with the stock market data result in high accuracy and precision. The only problem with that is to choose perfect model for the prediction. As different model return different accuracy depending upon the data. So in order to determine the best predictive model, in this paper various models for stock prediction and User-generated textual sentiments analysis are studied so as to extract the detailed version of best models for stock market prediction.

Stock Prediction, Machine Learning, Support Vector Machine, Piecewise linear representation, Latent Dirichlet Allocation, Bayesian Model

"Survey Report on Various Stock Prediction Model Based on Machine Learning Algorithms", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 7, page no.188-191, July-2018, Available :http://www.jetir.org/papers/JETIR1807183.pdf

"Survey Report on Various Stock Prediction Model Based on Machine Learning Algorithms", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 7, page no. pp188-191, July-2018, Available at : http://www.jetir.org/papers/JETIR1807183.pdf