How do Twitter users rate Jurassic World? Processing Big Data with IBM Watson

A new part of the dinosaur saga, Jurassic World, broke many box office records and gathered many positive reviews from critics. But how do viewers evaluate the appearance of the fourth part of the film about ancient reptiles in the world familiar to us? How impatiently did the audience expect the release of Mira in movie theaters?

Thousands and thousands of reviews need to be analyzed, which is what the IBM Watson team did. Now between IBM and Twitter there is a cooperation agreement on the processing of Big Data, a social network database. So IBM took some of the movie-related Twitter data and uploaded it to Watson Analytics .

The Twitter Data Connector tool was used to connect Twitter databases to Watson. In this case, only data with the hashtag #jurassicworld was analyzed. The time period for which the tweets were taken is from February 1 to May 29 of this year. Once the data was imported, Watson immediately set to work. No further action was required.

The processing results were quite interesting.

In particular, it turned out that most of the tweets about this film were sent by viewers from Chile. Women published messages about the World more often than men, and in Portugal the maximum number of both positive tweets and negative reviews was published.



For each of the researchers' requests, IBM Watson gave a clear answer in the form of a detailed report with graphs and charts. It is worth noting that a big plus of IBM Watson is its openness to everyone: even a person with minimal knowledge in the field of data analysis (and indeed without knowledge in this area) will be able to get an excellent report with detailed data. Getting started is easy enough.

Regarding the results, it is worth highlighting the following:
• The number of reviews of the film from viewers from Mongolia is only slightly inferior to the number of #jurassicworld tweets from Chile;
• In April, women spoke more positively about the film than in May;
• Overall, the feelings of the audience were positive;
• The total number of #jurassicworld tweets has increased in the last five days of the month.


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Such activity in May may be caused by an increase in trailers for Jurassic World on the movie page in Tumblr. Data obtained by researchers may be useful for subsequent releases of the film in other countries. Perhaps the prime minister should be shifted to the moment when the number of positive reviews is maximum.

IBM Watson made some more interesting conclusions:
• it turned out that the attitude of the audience from the Arab countries and Ukraine was mostly neutral (we are talking about reviews in Ukrainian and Arabic);
• Norwegians, in general, left positive reviews. And the positive / negative feedback ratio was greater than in any other region;
• the minimum ratio was in Los Angeles, the maximum (for the USA) in New Orleans.

All the techniques that were used to analyze the attitude of residents of different countries to the film can be used in any other field. For example, a marketer can evaluate the assessment (even probabilistic) of the relationship of the target audience to the company's product, the scientist will receive a detailed analysis of the results of the experiment and the ranking of factors that influenced the result. IBM Watson is a powerful tool for analyzing an arbitrarily large database related to almost any area of ​​human activity.