We find that the success of a meme can be predicted based on its content alone moderately well, our best performing machine learning model predicts viral memes with AUC=0.68. We also find that both image related and textual attributes have significant incremental predictive power over each other....
68 edgydarkdankmemes 1.57% 69 redditsoccercity 1.55% 70 clevercomebacks 1.55% 71 KamikazeByWords 1.54% 72 BadMensAnatomy 1.52% 73 lastimages 1.51% 74 CPUCS 1.5% 75 PoliticalCompassMemes 1.5% 76 DecreasinglyVerbose 1.48% 77 theportalhasopened 1.47% 78 Giraffesdontexist 1.46% ...
Reddit is also known for launching and nurturing trends and memes, and a single Reddit thread can become a news story all on its own. But there are some nuances to consider when responding to posts. The number one rule, according to Rodriguez-Piedra: Don’t just drop in a sales pitch....
Large scale clustering can help make sense of the huge amount of content being created online every day, and can subsequently be used in further machine learning tasks. Additional features derived from OSN data (such as user demographic, geographic and network data) have also been clustered to ...
that could open up risk for advertisers to potentially shy away. And then also lastly, investors have said they’re worried about potentially getting memed by the notorious Reddit users. I think the most famous one being Wall Street, that’s with GameStop and AMC memes that got pushed up ...
△图源推特:AI Memes for Artificially Intelligent Teens 明明想得很美:要提出一个更好的新架构、新损失函数、新优化器或激活函数…… 而实际正在做的呢? 在一个数据集上应用现有的东西(如架构,优化器,损失功能),尝试不同的组合以找到该数据集上的最优解。 这就是Reddit上的一位准博士现阶段的烦恼: 他并不...
/r/HistoryMemes+72 I don't have a direct link to the quotes. But it is the book 'Hitler and the Power of Aesthetics' by Frederic Spotts. permalink - /u/Jauxson/r/SurreyBC+20 Slap a bumper sticker on it https://www.amazon.com/Funny-Warning-Bumper-Sticker-Decal/dp/B00SDQPXGE...
[1]https://www.reddit.com/r/MachineLearning/comments/mouyp0/p_skindeep_remove_tattoos_using_deep_learning/ [2]https://github.com/vijishmadhavan/SkinDeep [3]https://colab.research.google.com/github/vijishmadhavan/SkinDeep/blob/master/SkinDeep.ipynb ...
Barnes, K.; Riesenmy, T.; Trinh, M.D.; Lleshi, E.; Balogh, N.; Molontay, R. Dank or not? Analyzing and predicting the popularity of memes on Reddit.Appl. Netw. Sci.2021,6, 1–24. [Google Scholar] [CrossRef] Grover, A.; Leskovec, J. node2vec: Scalable feature learning for...
From backend development, through machine learning to embedded systems. See more in this report: (…). Score: 13 Here, the only named entity that matches these captured in both subreddits is Python. However, degree-based ranking and score-based rankings may not agree. The node degree-based...