Text analysis case study

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But last week, Ryanair were dealt an incredible blow when they had to immediately cancel around 1, flights due to an administrative problem on their part. This is one of the biggest PR challenges they have faced, so we wanted to see how effectively Ryanair handled the news. With our APIs, we can use text analysis to measure the reaction to the announcement, both in the news and on social media. To do this, we collected just under news stories about the cancellations, and 30, Tweets mentioning Ryanair over the past week. Ryanair first started cancelling flights on Friday morning, but decided not to officially announce the news until later that evening, which is a common PR trick - announce bad news late on a Friday so the press coverage is affected by the weekend lull, hopefully resulting in less coverage. To try and understand how much coverage the news got, we decided to track the volume of news stories published over the weekend period using our Time Series endpoint.
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Topic Modeling Case Study

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4 Ways to Cite a Case Study - wikiHow

Chapter within Text Analysis in Q5 Video. This case study matches the content of the webinar Text Analysis in Q5 from October, Video from the webinar will be made available in the near future. The content of the webinar was inspired by David Robinson of the blog Variance Explained. David used sentiment analysis and other techniques to investigate the authorship of the Twitter communications made by Trump's account during the US presidential primary race of David hypothesized that the angrier tweets were sent by Trump, while other tweets were sent by Trump's assistant s.
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The case study approach

There are two different approaches to case studies. This guide focuses on the problem oriented method. Always check with your lecturer to confirm if this is the type required. A successful case study analyses a real life situation where existing problems need to be solved.
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Sidharth Macherla has over 12 years of experience in data science and his current area of focus is Natural Language Processing. Let's Get Connected: LinkedIn. Hi sir, I keep on follow this site.
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