Calculation and Comparison of Sentimental Values for Tweeting Message during Multiple Years

In this research, we have performed the following manipulations to realize the above targets; deciding to select and cheese suitable Twitter accounts who tweet interesting messages and acquire a possible mount of their relevant message, specifying and defining value for word of messages for sentimental dictionary, categorizing and listing such a calculated value for each word or expression as item of the dictionary, using these values as "entimental Values" for calculation of tweeting messages, calculating Sentimental Values for tweeting message from students of selected universities, checking statistical relation between the above "Sentimental Values" and published data. With results of the above calculated sentimental values of relevant messages, we have tried to visualize statistically relation between these values and some events/phenomena from the published documents.