1. kaiumkuakata@gmail.com : Ab kaium : Ab kaium
  2. akaskuakata@gmail.com : akas :
  3. mithukuakata@gmail.com : mithu :
  4. mizankuakata@gmail.com : mizan :
  5. habibullahkhanrabbi@gmail.com : rabbi :
  6. amaderkuakata.r@gmail.com : rumi sorif : rumi sorif
সোমবার, ০৫ ডিসেম্বর ২০২২, ০৭:৩৯ অপরাহ্ন
বিজ্ঞপ্তিঃ-
প্রতিটি জেলা উপজেলায় প্রতিনিধি নিয়োগ দেওয়া হবে। যোগাযোগঃ-০১৯১১১৪৫০৯১, ০১৭১২৭৪৫৬৭৪
শিরোনামঃ-
অন্যের স্ত্রী নগদ টাকা ও স্বর্নালঙ্কার চুরি; কলাপাড়ায় কথিত সাংবাদিকের নামে সমন জারি কলাপাড়া আন্ধার মানিক নদীর মোহনায় জলদস্যু জোংলা শাহালম বাহিনী কর্তৃক ট্রলার ডাকাতি, অপহরণ-১। Exactly what are repayment loans and just how manage it works? সাংবাদিক খান এ রাজ্জাকের মৃত্যুতে কুয়াকাটায় শোকসভা Bbb ideal on the internet poor credit wage advance costs আলফাডাঙ্গায় রাস্তার জায়গা জুড়ে বাড়ি নির্মাণের বাঁধা দেওয়ায় বন কর্মকর্তার উপর হামলা Nursing Figuratively speaking and you may Grant Software getting Aspiring Nurses পায়রা বন্দরের উন্নয়ন কাজে সুযোগ পেতে স্থানীয় শ্রমজীবী মানুষের মানববন্ধন, সমাবেশ নরসিংদীতে আবারও জোড়া খুন ঘাটাইলে সিআইজি চাষীদের মৎস্য উপকরণ বিতরণ 100 % free connection sites which can be in fact free গাইবান্ধায় কবি সরোজ দেবের ওপর সন্ত্রাসী হামলার প্রতিবাদে সংস্কৃতিকর্মীদের মানববন্ধন

This current year, You will find research to give cerdibility to my personal observations and we’re heading so you’re able to plunge in it

  • আপডেট সময় বৃহস্পতিবার, ২৪ নভেম্বর, ২০২২
  • ৭ বার

This current year, You will find research to give cerdibility to my personal observations and we’re heading so you’re able to plunge in it

Last year with the Romantic days celebration, I produced a laid-back research of your condition regarding Java Fits Bagel (otherwise CMB) therefore the cliches and trend I watched in the online pages female published (released with the an alternative website). not, I did not keeps difficult products to give cerdibility to the things i saw, only anecdotal musings and you will common conditions We seen when you find yourself searching by way of a huge selection of profiles showed.

To begin with, I experienced to locate a method to get the text studies on mobile app. The fresh community investigation and you will regional cache was encoded, so as an alternative, I took screenshots and you may ran it courtesy OCR to discover the text message. I did so particular by hand to see if it can functions, also it worked well, however, going right through a huge selection of users yourself copying text so you’re able to an enthusiastic Google layer was boring, so i was required to speed up this.

The details regarding CMB are tilted and only the person’s individual reputation, and so the studies I mined about pages I spotted are tilted on the my preferences and you may does not show all users

Android provides a good automation API entitled MonkeyRunner and an unbarred resource Python adaptation entitled AndroidViewClient, which greet complete accessibility the fresh new Python libraries We already got. All of this try imported to the a bing layer, upcoming installed to help you an effective Jupyter notebook in which I went significantly more Python scripts using Pandas, NTLK, and you can Seaborn so you’re able to filter out through the data and generate the latest graphs less than.

I spent 1 day coding new script and making use of Python, AndroidViewClient, PIL, and PyTesseract, We was able to comb using most of the users in under an hour

But not, even using this, you could currently select styles exactly how ladies establish the reputation. The data you might be seeing try from my personal character, Far-eastern men in their 30’s residing the Seattle town.

How CMB work was everyday from the noon, you earn an alternate character to get into that one may sometimes ticket or like. You can just communicate with anybody if there is a mutual such as for example. Sometimes, you have made an advantage reputation otherwise one or two (otherwise five) to get into. Which used become your situation, but up to , they relaxed one to rules to show up so you’re able to 21 users per go out, as you can see because of the abrupt spike. The fresh apartment outlines around is actually whenever i deactivated the latest software to get a break, thus discover certain analysis activities I missed since i did not discover any profiles during those times. Of your own users viewed, regarding the 9.4% got blank parts or unfinished users.

While the app try appearing pages tailored for the my character, the age collection is pretty sensible. not, We have realized that a few pages checklist not the right ages, both over intentionally otherwise unintentionally. Always, they state which on the character stating “my personal decades is actually ##” rather than the indexed. It’s both someone younger seeking to feel old (an 18 yr old list by themselves since 23) or people earlier checklist on their own more youthful (good 39 yr old checklist by themselves since the thirty six). Talking about infrequent cases compared to quantity of users.

Reputation duration try an interesting studies point. Because this is a cellular phone software, anyone will never be entering aside an excessive amount of (not to mention trying to make the full article employing UI is difficult because it was not created for much time text). The common amount of terms and conditions female had written try 47.5 which have a fundamental departure regarding thirty two.step one. Whenever we shed any rows which has blank areas, an average quantity of terminology is forty-two.eight that have a basic deviation away from 31.six, very little out-of a big change. You will find a significant amount of people with 10 terminology or shorter composed mieć wgląd w tym miejscu (9%). An unusual partners published within just emoji or used emoji within the 75% of their reputation. A couple penned its reputation inside Chinese. Both in of them cases, the fresh new OCR came back it as you to definitely ASCII mess out of a phrase since it try a beneficial blob for the text message identification.

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