Text Analysis - Galaxy Note 2

Presented By:Abul Faiz Iqbal

A14003

Agenda

• Introduction

• Analysis

• Conclusion

Introduction

• To study the customer reviews for Samsung Galaxy Note 2.

• Analysis to be done on minimum 100 reviews.

• Review to be extracted from http://www.flipkart.com.

Word Cloud

• The most frequent words are battery , good, phone, best, even, good, great, like, screen.

• After finding association for all of these words .

Association Conclusions

• When user is talking about phone he is mainly pointing out performance , big screen, and it’s configuration which is good for it.

• User is also talking about features like playing games and watching movies.

• User are also calling this phone as awesome, unbelievable and they are saying it as the topmost phone in the market at that time.

• They are also impressed with the processor and comparing it with HTC.

• Talking about screen they are liking the amoled screen which is good for playing movies and surfing internet on it is good.

Continued….

• They are also impressed with battery which is good for heavy usage.

• They are also asking for Dual Sims adoption in the phone.

• Also asking for more slimmer body.

Ratings Analysis

• Rating are classified into three categories based on Stars given to product.

• Impressed User: Ratings = 5 Stars.

• Satisfied User: Ratings = 3 & 4 Stars

• Dissatisfied User: Ratings < 3 Stars.

• Out of 100 user : 74 user are Impressed and only 6 user are dissatisfied.

• Satisfaction rate is excellent for this phone due to it’s multiple features present on the phone like big screen, good processor etc.

• So, Lived up to the expectation.

Clustering

• Optimum number of Cluster = 3.

• Cluster 1 refers to the customers who are talking about various features of the phone like battery, screen, camera etc. These are also the customer who are satisfied with the phone.

Clustering

• Cluster 2 refers to customers are who are also interested in buying white color which may not be available due to heavy demand . These customer criticizing both the Note 2 and flipkart for their service i.e. delay of shipment. They are comparing it with other phones and also says

that are better.

• Cluster 3 refers to customers who are interested in update of the software in India of the latest android version.

SVM Classification Analysis

• From SVM Model we see can see that out of 100 , 88 support vector is correctly classified.

• Having no of classes = 3.

• Leveled as Impressed = 62 , Satisfied=20 and Dissatisfied= 6

SVM Classification Analysis

• Evaluating the most important variable for prediction with respect to weight from the taken 100 review into consideration.

• Most important variable are: smart ,camera ,service , galaxi, excel, and time.

• Least important variable are : Actual, person, annoy, Ear, hate , goodsound.

LSA

From below diagram we can infer that the words like good, battery, screen, features are the important words which are contributing more .

Sentiment Analysis

• After doing sentiment analysis by checking the polarity of the each review

• We infer almost same result as given in Rating ( in Star).

• Polarity for words in each user is also classified correctly.

• There are customer who are satisfied with the product but they did not give rating as 5 Stars as it can be more improved in some features.

Conclusion

• Most of the user are satisfied with the phone .

• Customers are talking about different features about the phone like camera, battery usage , screen etc.

• So , the phone can be recommended to others due to it’s overall good rating .

Clustering