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Over a decade of social opinion mining: a systematic review
Social media popularity and importance is on the increase due to people using it for various
types of social interaction across multiple channels. This systematic review focuses on the …
types of social interaction across multiple channels. This systematic review focuses on the …
Stock market prediction using machine learning algorithms: a classification study
M Misra, AP Yadav, H Kaur - 2018 International Conference on …, 2018 - ieeexplore.ieee.org
Predicting the stock market has been an area of interest not only for traders but also for the
computer engineers. Predictions can be performed by mainly two means, one by using …
computer engineers. Predictions can be performed by mainly two means, one by using …
Study for the prediction of E-commerce business market growth using machine learning algorithm
Learning is a key to perform ideas adequately. Machine Learning empowers IT
organizations to identify the patterns on the basis of currently available algorithms and data …
organizations to identify the patterns on the basis of currently available algorithms and data …
Stock prediction by analyzing the past market trend
In contrast to the sudden change in global scenario with respect to shifting of things to online
on a vast scale and unprecedented fluctuation of the global market, stocks have gained a lot …
on a vast scale and unprecedented fluctuation of the global market, stocks have gained a lot …
[HTML][HTML] More than just sentiment: Using social, cognitive, and behavioral information of social media to predict stock markets with artificial intelligence and big data
Digital transformation offers unprecedented opportunities to access data on hard-to-
measure social aspects. In this digital era, social media platforms have become critical data …
measure social aspects. In this digital era, social media platforms have become critical data …
Evaluating the machine learning based momentum stock trading strategies with back-testing: An emerging market perspective
As the market participants increase, algorithmic trading has grown in prominence. Because
of that, extra considerations are needed to develop a profitable trading strategy. Unlike the …
of that, extra considerations are needed to develop a profitable trading strategy. Unlike the …
Cryptocurrency price prediction based on historical data and social media sentiment analysis
The cryptocurrency space is highly volatile, and predictive systems working in this space are
still in their infancy phase. The findings made during an extensive literature survey suggest …
still in their infancy phase. The findings made during an extensive literature survey suggest …
A Comparative study of different machine learning algorithms on bitcoin value prediction
Machine learning is growing rapidly and has made many theoretical breakthroughs which
find its application in many fields. Bitcoin is a very secure, decentralized, peer to peer …
find its application in many fields. Bitcoin is a very secure, decentralized, peer to peer …
Predicting Stock Prices Using Machine Learning Techniques
Stock value examination to a great extent relies upon the capacity to recognize the
development of the stock costs and foresee the concealed examples and patterns which the …
development of the stock costs and foresee the concealed examples and patterns which the …
Stock market prediction using machine learning techniques
R Ra, UN Sa, S Va, SR Lb - Advances in Parallel Computing …, 2021 - books.google.com
Predicting the future in all the areas using machine learning techniques was the recent
research in the current scenario. Stock market is one among them which needs the …
research in the current scenario. Stock market is one among them which needs the …