A versatile social analytics / OSINT platform that provides users with advanced ways to interact with Reddit data
Features include a precise search algorithm, custom WYSIWYG dataset creation, and near-instantaneous social mention tracking.
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Based on our record, Kaggle should be more popular than SocialGrep. It has been mentiond 99 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
I messed up bad when I was 13, and I searched up the account name on socialgrep.com and there are still archives of what I've done. Is there any way possible that they could find my account name? Source: about 1 year ago
SocialGrep is the tool I currently use to search old posts and comments. I don't really need to work with a lot of data formally, so I think this a really good alternative for just searching for what you need. Source: about 1 year ago
What is this? I found this reddit archived entry on socialgrep.com. There's a google drive folder linked with a LOT of resources (promotional images, logos) from Severance. It's like the folder of a social media manager working for the tv show or something like that. Either a worker has leaked their own files (which I doubt) or this is the most dedicated fandom ever. There's also a PDF of The Lexington Letter, if... Source: over 1 year ago
A limited service but powerful and more reliable than the above; but is not free for large content retrievals. It does not have the option to search by user. Https://socialgrep.com/. Source: over 1 year ago
You can find former RL posts via https://socialgrep.com (Enter the following in search: /r/repladies keyword1 keyword2…). Source: over 1 year ago
Need help with last minute python project (due today). Project involves choosing a dataset from kaggle.com to analyze and creating questions to answer through analyzing the data. I have a pdf file of the project guidelines if you want more details. Also on a budget. Source: 11 months ago
Next, you can do basic analysis of datasets in Python using libraries like pandas and scikit-learn. There's a lot of example datasets on kaggle.com. Source: 11 months ago
Also look into kaggle.com and participate in competitions, etc. This will be something you can show on your CV as real-world-experience while boosting your skills. Source: 11 months ago
Take a loot at the Open Images dataset or Kaggle. Source: 11 months ago
If you took a good database course and a good data science/data analytics/informatics course in college, you likely have the knowledge you need for the PBQs. Looking at the "Given a scenario..." objectives for the Data+, I think I would practice up basic SQL, then fire up PowerBI/RStudio/Jupyter Notebook/whatever your favorite visualization tool is and take some real-world data from kaggle.com and make some... Source: 12 months ago
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