2019
DOI: 10.30534/ijatcse/2019/10842019
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A New sentiment score based improved Bayesian networks for real-time intraday stock trend classification

Abstract: The stock sentiment score is an important trend indicator for an enterprise and several factors may affect its value. Various events such as stock news, quarterly results and company announcements may differ in public emotion and sentiments, which may affect stock market trend. Due to variation in stock trend and news, stock market forecasting remains a challenging task in real-time market. However, most of the traditional sentiment analysis approaches are not directly predicting the sentiment score and its tr… Show more

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Cited by 8 publications
(4 citation statements)
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References 13 publications
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“…These conclusions are concurrent with the study of Li et al 4 . Data mining was used to analyze the securities market, which was similar to the studies of Feuerriegel and Pröllochs 22 and Maguluri and Ragupathy 23 . However, the current work and its results differ from them in that a more convenient method of analysis was used for ordinary users while obtaining results.…”
Section: Discussionmentioning
confidence: 99%
“…These conclusions are concurrent with the study of Li et al 4 . Data mining was used to analyze the securities market, which was similar to the studies of Feuerriegel and Pröllochs 22 and Maguluri and Ragupathy 23 . However, the current work and its results differ from them in that a more convenient method of analysis was used for ordinary users while obtaining results.…”
Section: Discussionmentioning
confidence: 99%
“…In the paper [23], we have proposed a novel filtered based classification model on the technical and stock news datasets in order to predict the trend of the to find the bullish trend stocks on the real-time market data. This model is tested on the continuous type of technical data for trend prediction.…”
Section: Filter Baseedd Stock Technical Prediction Modelmentioning
confidence: 99%
“…The stock exchange predictions can be a boon to society if done truly and hence, can help the customers also. [16] Concluding, many papers gave their respected opinions and reviews regarding different products. Therefore, the given system tries to utilize the given visualization techniques and also offers different visualization techniques that can be worthy and useful in structuring the purpose where one can efficiently analyze the sentimental feedbacks.…”
Section: Literature Reviewmentioning
confidence: 99%