Predicting the popularity of instagram posts for a lifestyle magazine using deep learning

@article{De2017PredictingTP,
  title={Predicting the popularity of instagram posts for a lifestyle magazine using deep learning},
  author={Shaunak De and Abhishek Maity and Vritti Goel and Sanjay Shitole and Avik Bhattacharya},
  journal={2017 2nd International Conference on Communication Systems, Computing and IT Applications (CSCITA)},
  year={2017},
  pages={174-177}
}
  • Shaunak De, Abhishek Maity, +2 authors Avik Bhattacharya
  • Published 2017
  • Engineering
  • 2017 2nd International Conference on Communication Systems, Computing and IT Applications (CSCITA)
  • In this paper we use a Deep Neural Network (DNN) trained on data collected from the visual media-sharing social platform Instagram account of a popular Indian lifestyle magazine to predict the popularity of future posts. This predicted popularity of the post can be used to decide advertising rates and measure performance metrics important for publishing strategy decisions. The DNN primarily uses growth rate in subscriber base, tags associated with the post, time of day when the post was made… CONTINUE READING

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    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 16 REFERENCES
    Soil Carbon Sequestration Impacts on Global Climate Change and Food Security
    • R. Lal
    • Environmental Science, Medicine
    • 2004
    4185
    Not quite the average: An empirical study of Web use
    209
    Polylactide stereochemistry: effect on enzymic degradability
    294
    Image Enhancement. In Two-Dimensional Signal and Image Processing
    • 1990
    Experiment study on influence of trigger current on conduction characteristics of triggered vacuum switches
    • 2017
    Profile-Guided Multi-Heuristic Branch Prediction
    13