TEXT ANALYTICSANALYSIS OF BLACKBERRY Z3 REVIEWS

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AGENDA INTRODUCTION WEB CRAWLING TDM and WORDCLOUD LATENT SEMANTIC ANALYSIS PLOTTING TERMS AND DOCUMENTS AFTER LSA CLUSTER ANALYSIS RATING ANALYSIS RATINGS AND REVIEWS COMPARISON ANALYSIS

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INTRODUCTION BlackBerry Z3 brings the best of BlackBerry in a pocket-friendly and Android compatible avatar.

Key Features of BlackBerryZ3 Full HD Recording 5 MP Primary Camera Wi-Fi Enabled BlackBerry 10.2.1 OS 5-inch LCD Touchscreen 1.2 GHz Qualcomm 8230 Dual Core Processor 1.1 MP Secondary Camera 8 GB Internal Memory

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WEB CRAWLING To analyze the reviews of blackberry z3, we have done web crawling for blackberry z3 reviews from www.flipkart.com. There are 476 reviews (10 per page each page) for blackberry z3 on flipkart. We have taken 100 reviews from the first ten pages which are most helpful. We have considered the ratings attached with those reviews.

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TDM and WordCloud To analyze the reviews, we have removed numbers, stop words and punctuations and created the term document matrix to find the frequency of each word in the reviews. After creating the Term Document Matrix, we have created the wordcloud based on TDM. The size of each depends on how many times that word is present in all reviews.

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LATENT SEMANTIC ANALYSIS Latent semantic analysis (LSA) is a technique in natural language processing, of analyzing relationships

between a set of documents and the terms they contain by producing a set of concepts related to the documents and terms.

Thereby we can reduce the number of dimensions for a large corpus of words (multiple rows and columns).

SK DK TK

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Plotting Terms after dimension reduction

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Plotting Documents after dimension reduction

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CLUSTER ANALYSIS

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WordCloud of each cluster(term)

Cluster 1 Cluster 2 Cluster 4

Cluster 3

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RATING ANALYSIS• We have analyzed the ratings by removing the stars/star words from ratings vector by using gsub().• After removing the stars/star, we have categorized the ratings as

• <2 : Dissatisfied• =3 : Satisfied• >3 : Impressed

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REVIEWS AND RATINGS COMPARISON ANALYSIS• We have analyzed the reviews and categorized the customers based

on the words they have used in their reviews.

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Classification on “Satisfaction”• We have classified the words based on what sense they give to the review.

Top words which give negative impact

Top words which give positive impact

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THANK YOU