sentiment_analysis   333

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jcjohnson/torch-rnn
Efficient, reusable RNNs and LSTMs for torch
sentiment_analysis 
26 days ago by danimad
karpathy/char-rnn
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
sentiment_analysis 
26 days ago by danimad
CharCNN
GitHub is where people build software. More than 28 million people use GitHub to discover, fork, and contribute to over 85 million projects.
sentiment_analysis 
27 days ago by danimad
Mapping the anti-vaccination movement on Facebook: Information, Communication & Society: Vol 0, No 0
Over the past decade, anti-vaccination rhetoric has become part of the mainstream discourse regarding the public health practice of childhood vaccination. These utilise social media to foster online spaces that strengthen and popularise anti-vaccination discourses. In this paper, we examine the characteristics of and the discourses present within six popular anti-vaccination Facebook pages. We examine these large-scale datasets using a range of methods, including social network analysis, gender prediction using historical census data, and generative statistical models for topic analysis (Latent Dirichlet allocation). We find that present-day discourses centre around moral outrage and structural oppression by institutional government and the media, suggesting a strong logic of ‘conspiracy-style’ beliefs and thinking. Furthermore, anti-vaccination pages on Facebook reflect a highly ‘feminised’ movement ‒ the vast majority of participants are women. Although anti-vaccination networks on Facebook are large and global in scope, the comment activity sub-networks appear to be ‘small world’. This suggests that social media may have a role in spreading anti-vaccination ideas and making the movement durable on a global scale.
conspiracy_theories  social_media  social_networks  contagion  sentiment_analysis  topic_model  networks  teaching  via:zeynep 
december 2017 by rvenkat

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