Machine Learning Based Prediction of Stock Exchange on NASDAQ 100: A Twitter Mining Approach
Twitter is a popular social media network. Its impact on our daily life is increasing day by
day. Twitter is not only used for current affairs but also for showing its significance in
corporate culture. The motivation for this research is to elaborate on the importance of user
tweets on famous companies around the world by analyzing the user tweets according to
their sentiments, ie, optimistic (positive), harmful (negative) and disinterested (neutral). This
analysis is an effort to show the corelation between user tweets and the variation in the stock …
day. Twitter is not only used for current affairs but also for showing its significance in
corporate culture. The motivation for this research is to elaborate on the importance of user
tweets on famous companies around the world by analyzing the user tweets according to
their sentiments, ie, optimistic (positive), harmful (negative) and disinterested (neutral). This
analysis is an effort to show the corelation between user tweets and the variation in the stock …
[PDF][PDF] Machine Learning Based Prediction of Stock Exchange on NASDAQ 100: A Twitter Mining Approach
MAMB Alvi - researchgate.net
Twitter is a popular social media network. Its impact on our daily life is increasing day by
day. Twitter is not only used for current affairs but also for showing its significance in
corporate culture. The motivation for this research is to elaborate on the importance of user
tweets on famous companies around the world by analyzing the user tweets according to
their sentiments, ie optimistic (positive), harmful (negative) and disinterested (neutral). This
analysis is an effort to show the co-relation between user tweets and the variation in the …
day. Twitter is not only used for current affairs but also for showing its significance in
corporate culture. The motivation for this research is to elaborate on the importance of user
tweets on famous companies around the world by analyzing the user tweets according to
their sentiments, ie optimistic (positive), harmful (negative) and disinterested (neutral). This
analysis is an effort to show the co-relation between user tweets and the variation in the …
以上显示的是最相近的搜索结果。 查看全部搜索结果