Technical Approach in Text Mining for Stock Market Prediction: A Systematic Review

Abstract

Text mining methods and techniques have disclosed the mining task throughout information retrieval discipline in the field of soft computing techniques. To find the meaningful information from the vast amount of electronic textual data become a humongous task for trading decision. This empirical research of text mining role on financial text analysing in where stock predictive model need to improve based on rank search method. The review of this paper basically focused on text mining techniques, methods and principle component analysis that help reduce the dimensionality within the characteristics and optimal features. Moreover, most sophisticated soft-computing methods and techniques are reviewed in terms of analysis, comparison and evaluation for its performance based on electronic textual data. Due to research significance, this empirical research also highlights the limitation of different strategies and methods on exact aspects of theoretical framework for enhancing of performance.

Neural Network and Principle Component Analysis Based Numerical Data Analysis for Stock Market Prediction with Machine Learning Techniques

“…Numerical data analysis focuses based on NN architecture which come out with the feasible value of stock market. Prediction of stock price relays on quantifiable factors that performed by various soft-computing methods [1]. Basically, numerical data analysis is much dependable on technical methods and factors for stock prediction as have been seen in the trading philosophies of fundamental and technical analysis [2].…”

“…Array in the dataset always configure in two dimensions but this research focused on the index value of data.shape[0] and data.shape [1] is 0&1 that working along with the first dimension array in this dataset. After initializing, the dataset needs to support the arguments of the method in term of data values that can index the array along the given of first dimension as converted by using numpy.…”

A Novel Cryptocurrency Prediction Method Using Optimum CNN

“…Bitcoin is generated, traded, distributed, and stored using a decentralized registering method and identified as a blockchain in contrast to flat currency. The Bitcoin price depends on large numbers of variables, including opinion, news, and buzz from around the globe [2].…”

Flexibility of Indonesian text pre-processing library

“…Text mining technique was a technique to find important values previously unknown automatically by extracting text data so that obtained useful knowledge [16][17][18][19][20][21]. One of the problems in text mining was to represent text that was unstructured data into a structured data representation before the mining process.…”