Forecasting stock market prices using machine learning and deep learning models: A systematic review, performance analysis and discussion of implications

G Sonkavde, DS Dharrao, AM Bongale… - International Journal of …, 2023 - mdpi.com
The financial sector has greatly impacted the monetary well-being of consumers, traders,
and financial institutions. In the current era, artificial intelligence is redefining the limits of the …

Review of stock prediction using machine learning techniques

R Patel, V Choudhary, D Saxena… - 2021 5th International …, 2021 - ieeexplore.ieee.org
Stock prices change everyday by market forces (supply and demand). In recent years stock
price prediction has been one of the most significant concern. Investors are investing on …

Sentimental Analysis of Twitter Data using Machine Learning Algorithms

GPA Mary, MS Hema, R Maheshprabhu… - … , Analytics, Big Data …, 2021 - ieeexplore.ieee.org
As social media is becoming a necessity for communication, a lot of data is available on this
platform, which could be helpful for analysis. At a certain time, we use Twitter to tweet almost …

Sentiment analysis of COVID-19 tweets by machine learning and deep learning classifiers

R Jain, S Bawa, S Sharma - Advances in Data and Information Sciences …, 2022 - Springer
Sentiment analysis helps in deciding the emotions of a person that they like to express as
neutral, negative, or positive. Many algorithms of machine learning and deep learning exist …

Lstm and nlp based forecasting model for stock market analysis

R Patel, V Choudhary, D Saxena… - 2021 First International …, 2021 - ieeexplore.ieee.org
The stock market prices change everyday by market forces (supply and demand). In recent
years stock market forecasting becomes a successful approach to predict stock prices …

Bpte: Bitcoin price prediction and trend examination using twitter sentiment analysis

MK Shahzad, L Bukhari, TM Khan… - … on Information and …, 2021 - ieeexplore.ieee.org
Natural Language Processing (NLP) is a challenging and evolving field with the potential of
mushroom growth. This technology is expected to assume a pivotal role in bridging the gap …

Sentimental analysis of Twitter data and Comparison of covid 19 Cases trend Using Machine learning algorithms

KS Vrunda, BS Jayasri - 2022 IEEE 3rd Global Conference for …, 2022 - ieeexplore.ieee.org
Coronavirus was first detected in the year 2019 in Wuhan, China. The disease rapidly
spread across the country in a short span of time. The Government had imposed strict rules …

Tweets analytics for directional prediction of stock market movement: a short window event study

T Nandan, M Agrawal, RK Soni - International Journal of …, 2023 - inderscienceonline.com
This study examines the influence of tweets on the prediction of the Nifty 50 index movement
in association with the COVID-19 vaccination news break event in India. A 15-day short …

An Integrated Approach Towards Stock Price Prediction using LSTM Algorithm

K Vikas, K Kotgire, BSP Reddy… - … Conference on Edge …, 2022 - ieeexplore.ieee.org
Investing in stock markets is always a bit complex and unpredictable for numerous reasons.
This study is made by an extensive study of various machine learning and deep learning …

Thailand Stock Index Forecasting Based on Multiple Data Sources Using RNN-LSTM Approach

P Boonrawd, K Phonyiam - 2022 Research, Invention, and …, 2022 - ieeexplore.ieee.org
Stock investment is an interesting option that has attracted the attention of investors. This
research presents Thailand Stock Index Forecasting, a case study of the Stock Exchange of …