Stock market prediction has been a vital area of research for a long time. And there are many abroad study found that public mood sentiment on social media, such as Twitter, can predict the stock price effectively.
But when it comes to the situation of Taiwan, due to the difference in popular social media and the languages, both of them bring many problems and difficulties to building a stock price prediction model.
To localize the technic with previous papers and give suggestions to investors, I develop a Python project about predicting the stock price through Facebook sentiment. This Tutorial is going to share the five vital modules: data collection, data preprocessing, sentiment analysis, prediction model, and portfolio suggestion. I hope this will help the investors get some valuable indicators and make better investment decisions.
tlyu0419
hiroyaonoe
eumesy
morishtr
mhangyo
yowata
masakat0
yukizenimoto
chokkan
kinakomoti321
kosuken
takeshi_koshizuka
cheerfularge
kneath
bluesmoon
mongodb
csswizardry
caitiem20
danielanewman
tenderlove
schacon
bcantrill
notwaldorf
palkan
lauravandoore