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Fun Little Vegas Based Project I'm Doing in my Data Science Class

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Jidery

Jidery

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Yelp as a platform is very powerful, but one area that it’s struggled with is filtering reviews. As of now, Yelp has an algorithm called “Yelp Sort” where it tries to guess the best reviews and feature those first. Yelp’s review management lacks options beyond this algorithm or simply viewing “the newest” reviews. We believe that the way yelp manages reviews can be improved. One area where improvement could be made is distinguishing between locals reviewing a location, and vacationers reviewing a location. The context behind our question is to manage reviews.

Our thoughts on this are that reviews between locals and travelers visiting the city or town are going to review places differently. Through our Data research we hope to answer the question of “How do reviews differ for travelers compared to locals?”. The reasoning behind this is that some restaurants may cater more to the local population, or some to tourists, which would cause variation in the reviews.

We'll be looking at Las Vegas and analyzing Yelp data to determin what differences there are in review biases and scores on vacationers vs locals.

A62zmTA.png


We think it'll be interesting to learn the various habits and differences between those demographics. I'll definitely report any results we find.
 
Jidery said:
Yelp as a platform is very powerful, but one area that it’s struggled with is filtering reviews. As of now, Yelp has an algorithm called “Yelp Sort” where it tries to guess the best reviews and feature those first. Yelp’s review management lacks options beyond this algorithm or simply viewing “the newest” reviews. We believe that the way yelp manages reviews can be improved. One area where improvement could be made is distinguishing between locals reviewing a location, and vacationers reviewing a location. The context behind our question is to manage reviews.

Our thoughts on this are that reviews between locals and travelers visiting the city or town are going to review places differently. Through our Data research we hope to answer the question of “How do reviews differ for travelers compared to locals?”. The reasoning behind this is that some restaurants may cater more to the local population, or some to tourists, which would cause variation in the reviews.

We'll be looking at Las Vegas and analyzing Yelp data to determin what differences there are in review biases and scores on vacationers vs locals.

A62zmTA.png


We think it'll be interesting to learn the various habits and differences between those demographics. I'll definitely report any results we find.
Click to expand...

You DEFINITELY found a home on this site...you fit right in on being clinical in your analysis (a great thing)! Some of our sharpest people analyze down to the penny and are also hardcore spreadsheet/data analytics' fans. (Yes, I am talking about YOU Chuck and JeJas!) You even included JSON in your search string? Yep. You found your group of people here.

Interesting post, and I'll be looking forward to seeing your thoughts/conculsions after your data project! :)
 
Multifarious5 said:
You DEFINITELY found a home on this site...you fit right in on being clinical in your analysis (a great thing)! Some of our sharpest people analyze down to the penny and are also hardcore spreadsheet/data analytics' fans. (Yes, I am talking about YOU Chuck and JeJas!) You even included JSON in your search string? Yep. You found your group of people here.

Interesting post, and I'll be looking forward to seeing your thoughts/conculsions after your data project! :)
Click to expand...

Thanks! I'm pretty new to Data Analytics and am still learning a ton in my class, but I hope to answer these questions with my group in the near future. It'll be fun for sure.
 
Best wishes on your study, Jidery!
More power to you numbers/statistics people!

I no longer make fun of those who work with numerical averages.

Because that's just mean! :D

RICHARD
 
One thing that bothers me about sites like Yelp or TripAdvisor is fake reviews, is there any way to remove those posted by one time reviewers? If one time only reviews were removed, how would it affect the ratings?

A couple of years ago I used Hotwire for a room outside of Atlantic City. It was one of those motels that I would have never picked had I known the name before making the purchase. The motel was kind of dumpy and I complained to TA about the many two line 5 star reviews from one time reviewers. Of course they did nothing about it.
 
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This looks really interesting. I'd certainly like to know what you find.
 

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Interested to find this out as well. I think Yelp has a lot going for it, but it's living in the proverbial stone ages with its UX. This issue is only compounded by a clunky website design that prompts you to always download their app. I know that's irrelevant to your research, but I think initiatives like what you're suggesting can go a long way in bringing that website back to where it needs to be for today's discerning consumers. Booking.com has done a great job in staying ahead of the curve as it pertains to reviews.
 
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