Sentiment analytics
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This document presents an analysis of reviews from IMDb for the Hobbit series, focusing on web crawling, sentiment analysis, and the creation of a term document matrix. Key findings indicate varying levels of negative and positive ratings across the three films, with notable differences in the polarity of reviews and influential terms affecting ratings over the years. The analysis leverages techniques like latent semantic analysis to interpret sentiments and highlight the words most impactful in shaping viewer perceptions.
Sentiment analytics
- 1. TEXT ANALYTICS Analysis of reviews fetched from IMDB for Hobbit Series 1 Submitted By :- Amrapalli Karan Kamalika Some Krishanu Mukherjee Somenath Sit
- 2. Objective • Web Crawling from IMDB for 3 sequels of The Hobbit. • Creation of Term Document Matrix and WordCloud • Dimension Reduction using Latent Semantic Analysis • Influencing Words in Ratings • Comparison of sentiments expressed in reviews and ratings given 5/2/2016 2
- 4. Cleaning of TDM 5/2/2016 4 TDM Dictionary Final TDM Filtered TDM Excluded few common but unnecessary words like "hobbit", "film", "movie", "movies“ etc. Dictionary with common english words
- 5. Dominating Words in TDM 5/2/2016 5 Hobbit - 2012 Hobbit - 2013 Hobbit - 2014
- 6. Dimension Reduction using LSA 5/2/2016 6 TK DK SK
- 7. Important Variables in TK matrix 5/2/2016 7 Built a model with “satisfaction” as response variable, to find out which variable are having more power in predicting the “Ratings satisfaction=ifelse(Ratings<5,"Dissatisfied", ifelse(Ratings<7,"Satisfied","Impressed!"))
- 8. Dimension Reduction using LSA 5/2/2016 8 • Plotted variable importance with Scree Plot. • Take optimal no of variables (documents) to filter DK matrix.
- 9. DK matrix with important variables 5/2/2016 9
- 10. For Hobbit-2012 5/2/2016 10 • Story ,book, like these words are having deciding power in “Ratings”. • People talked more about the book and the story line.
- 11. For Hobbit-2013 5/2/2016 11 • Series ,good , great, story these words are having deciding power in “Ratings”. • In 2013 also viewers were only impressed with the story, battles etc.
- 12. For Hobbit-2014 5/2/2016 12 • Beside like, good; bad, story these words are also having deciding power in “Ratings”. • Along with the good words, some negative words have been used here. • Story, book these things are not that effecting in comparison with previous sequels.
- 13. Sentiment Analysis 5/2/2016 13 • A basic task in sentiment analysis is classifying the polarity of a given text at the document, sentence, or feature/aspect level — whether the expressed opinion in a document, a sentence is positive, negative, or neutral. • We performed sentiment analysis (polarity) on the movie reviews of Hobbit and its sequels . • We used R for the analysis.
- 14. Average Ratings 5/2/2016 14 3.65 2.52 4.13 0 0.5 1 1.5 2 2.5 3 3.5 4 4.5 Hobbit :An Unexpected Journey (2012) For Hobbit: The Desolation of Smaug (2013) For Hobbit: The Battle of the Five Armies (2014)
- 15. Key Findings……… • For Hobbit :An Unexpected Journey (2012), 97% of the negative ratings had a negative polarity for the corresponding reviews, while 78% of the positive ratings had a positive polarity for the corresponding reviews. • 76.5% of the ratings were negative. • The average polarity of the reviews was (0.012).
- 16. Key Findings….(contd)… • For Hobbit: The Desolation of Smaug (2013), 85% of the negative ratings had a negative polarity for the corresponding reviews, while 60% of the positive ratings had a positive polarity for the corresponding reviews. • 89% of the ratings were negative. • The average polarity of the reviews was (0.004).
- 17. Key Findings….(contd)… • For Hobbit: The Battle of the Five Armies (2014), only 3% of the negative ratings had a negative polarity for the corresponding reviews, while 100% of the positive ratings had a positive polarity for the corresponding reviews. • 68% of the ratings were negative. • The average polarity of the reviews was (0.005).
- 18. Polarity Comparison - Region wise 5/2/2016 18 Hobbit 2012 Hobbit 2013 Hobbit 2014
- 19. Polarity Comparison – Region wise 5/2/2016 19
- 20. 5/2/2016 20