Due to its dynamics, non-linearity and complexity nature, stock market is inherently difficult to
predict. One of the attractive objectives is to predict stock market movement direction by …

The paper is aimed at a critical review of the literature dealing with text mining and sentiment
analysis for stock market prediction. The aim of this work is to create a critical review of the …

The prime purpose of the research is to investigate stock price prediction techniques and
their shortcomings concerning particular characteristics and performance measures. The …

Predicting stock market trends is an intriguing and complex problem, which has drawn
considerable attention from the research community. In recent years, researchers have …

Stock investors perform stock price forecasting based on technical indicators and historical
stock prices. The large number of technical indicators and historical data often leads to …

A comparative study of improved accuracy using Simple Novel Long Short-Term Memory
(SNLSTM) of stock market prediction along with Back Propagation (BP), to predict values in …

Background. Stock market prediction is an active yet challenging research area. A lot of
effort has been put in by both academia and practitioners to produce accurate stock market …

Duygu analizi, metinsel verilerin yansıttığı olumlu, olumsuz ya da nötr duyguların tespit
edilme aşamalarını içermektedir. Farklı konular hakkında yayınlanan metinsel verilerin …

A significant amount of resources have been used in both academia and industry to study
the impact of financial text on company perception and performance. In order to mitigate …

Natural language processing (NLP) has emerged as a groundbreaking technology within
the healthcare sector and promising to streamline various tasks for enhancing patient care …