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Analysis of Reviews fetched from Flipkart on selected Smartphone model

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  1. 1. TEXT ANALYTICS Analysis of reviews fetched from FLIPKART.COM for MOTO-G (2nd gen) 3/19/2015 Roma Agrawal (A14026) 1
  2. 2. Objective • Web Crawling from www.filpkart.com for Mobile “MOTO G (2nd gen)” • Creation of Term Document Matrix and WordCloud • Dimension Reduction using Latent Semantic Analysis • Clustering on the basis of both Terms and Documents • Analysis of ratings given • Comparison of sentiments expressed in reviews and ratings given 3/19/2015 Roma Agrawal (A14026) 2
  3. 3. Web Crawling 3/19/2015 Roma Agrawal (A14026) 3
  4. 4. Creation of TDM and WordCloud 3/19/2015 Roma Agrawal (A14026) 4
  5. 5. Dimension Reduction using LSA 3/19/2015 Roma Agrawal (A14026) 5 TK DK SK
  6. 6. Plotting Terms wrt V1 and V2 3/19/2015 Roma Agrawal (A14026) 6
  7. 7. 3/19/2015 Roma Agrawal (A14026) 7 Plotting Terms wrt V1 and V3
  8. 8. 3/19/2015 Roma Agrawal (A14026) 8 Plotting Terms wrt V2 and V3
  9. 9. 3/19/2015 Roma Agrawal (A14026) 9 Plotting Doc wrt V1 and V2
  10. 10. 3/19/2015 Roma Agrawal (A14026) 10 Plotting Doc wrt V1 and V3
  11. 11. 3/19/2015 Roma Agrawal (A14026) 11 Plotting Doc wrt V2 and V3
  12. 12. Clustering (for Terms) 3/19/2015 Roma Agrawal (A14026) 12
  13. 13. 3/19/2015 Roma Agrawal (A14026) 13 WordCloud for each Clusters
  14. 14. 3/19/2015 Roma Agrawal (A14026) 14 Clustering (for Doc)
  15. 15. Analysis of ratings given 3/19/2015 Roma Agrawal (A14026) 15 No Rating was missing
  16. 16. What review text is saying! 3/19/2015 Roma Agrawal (A14026) 16 Some agreement Between “what review text is saying” and “what rating given” is shown by this count Not able to create polarity for 6 reviews, replaced by group average polarity
  17. 17. 3/19/2015 Roma Agrawal (A14026) 17 Classification on “satisfaction” Top 6 imp words which have negative meaning Top 6 imp words which have positive meaning
  18. 18. 3/19/2015 Roma Agrawal (A14026) 18

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