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I analyzed 571M Amazon reviews to find the most profanity-filled customer rants

burla-cloud.github.io

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Re: I analyzed 571M Amazon reviews to find the most profanity-filled customer rants

#2

Post by skyberrys »

Well the website is kind of useless, but it does suck me in. I love reading crazy reviews. The only thing that would make it better is if they also included Airbnb reviews.

The second review I read was a customer complaining about profanity in a movie and then writing out all the examples. Who has time for that?

Re: I analyzed 571M Amazon reviews to find the most profanity-filled customer rants

#3

Post by jperryjperry »

skyberrys wrote: post #2

Well the website is kind of useless, but it does suck me in. I love reading crazy reviews. The only thing that would make it better is if they also included Airbnb reviews. The second review I read was a customer complaining about profanity in a movie and then writing out all the examples. Who has time for that?

well well well... take a look at what I just built https://burla-cloud.github.io/airbnb-burla/

Re: I analyzed 571M Amazon reviews to find the most profanity-filled customer rants

#7

Post by skyberrys »

jperryjperry wrote: post #3
skyberrys wrote: post #2

Well the website is kind of useless, but it does suck me in. I love reading crazy reviews. The only thing that would make it better is if they also included Airbnb reviews. The second review I read was a customer complaining about profanity in a movie and then writing out all the examples. Who has time for that?

well well well... take a look at what I just built https://burla-cloud.github.io/airbnb-burla/

I love it! Endless entertainment and 0 attempts to get me to stay at the Airbnb.

Re: I analyzed 571M Amazon reviews to find the most profanity-filled customer rants

#8

Post by jperryjperry »

mind_heist wrote: post #6

how did you scrape all the reviews?

open source dataset from McAuley Lab at UCSD https://huggingface.co/datasets/McAuley-Lab/Amazon-Reviews-2....

I'm going to publish an Airbnb example tomorrow where I scraped 1,406,718 photo URLs from public listing pages. For that I used https://docs.burla.dev/ which is a high-performance parallel processing python library I've been working on for a few years now.

Re: I analyzed 571M Amazon reviews to find the most profanity-filled customer rants

#9

Post by skyberrys »

jperryjperry wrote: post #3
skyberrys wrote: post #2

Well the website is kind of useless, but it does suck me in. I love reading crazy reviews. The only thing that would make it better is if they also included Airbnb reviews. The second review I read was a customer complaining about profanity in a movie and then writing out all the examples. Who has time for that?

well well well... take a look at what I just built https://burla-cloud.github.io/airbnb-burla/

I must say the reviews you have are more in the horrifying and less in the pretty funny situation. My favorite funny (and bad) review was a host that accused his guest of flipping over all the furniture in the house and the guest was like "why and how would I do this". I still want to know what happened that day. How did all the furniture end up upside down?

Re: I analyzed 571M Amazon reviews to find the most profanity-filled customer rants

#10

Post by jperryjperry »

skyberrys wrote: post #7
jperryjperry wrote: post #3

Earlier quoted context omitted.

well well well... take a look at what I just built https://burla-cloud.github.io/airbnb-burla/

I love it! Endless entertainment and 0 attempts to get me to stay at the Airbnb.

yeah now that I have the images I want to do some silly shit with it. maybe find the all Airbnbs with satanic decor or like red rooms haha
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