Sentiment Analysis

By:
Haneen  , Yasmeen , Bayan





Determine marketing strategy 
measure campaign success 
 measure product messaging 
 measure customer service 
 Test business KPIs 
 Generate leads 
Sentiment Analysis, Social Media, WHY?







ETL(Extract, Transform, Load)



Extract Facebook Data 







Extract twitter Data 









ETL(Extract, Transform, Load)



Cleaning Facebook Data With Excel




Cleaning Data With RapidMiner




The Creation Of Training Data



ETL(Extract, Transform, Load)




With Two Classes












16





With Three Classes for Facebook







With Three Classes for Twitter 











The two steps 

First :










Step 2 






Here we found that the accuracy of using these two processes is 

(76.62+83.31)/2 
 	 =79.9		



The Comparison Between The three  Classification Models 




The future expectation 
We have a desire in the future to work in Arabic data and to know more details about it. 
2. Through the experience we have seen, if we want to use a tool in the future we use paid tools.
3. After our study of sentiment analysis, we have the experience and the ability to solve any problems we face in this field.
4. The next step will be easy for us because we have become aware of concepts and terminologies. 
5. The difficulties we faces in importing data will not have presence in the future.





Results:
 To take more attention about their website and e-buy and its online services 
To take attention about the customers services and the relationships between the employees 
There is a lot of crowding and this obliged the customers to wail a lot of time .
There's no attention to the negative comments on social media and sometimes it was deleted
There is no online chat .
Any organization must has sentiment analysis processes to develop there work . 


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