Multimodal Hashtag Prediction with instagram data & pytorch (2nd Place on OpenResource Hackathon 2019)
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Updated
Jun 12, 2023 - Python
Multimodal Hashtag Prediction with instagram data & pytorch (2nd Place on OpenResource Hackathon 2019)
Scalable hashtag recommender system based on mini-batch fast k-means and neural networks
HASHET (HAshtag recommendation using Sentence-to-Hashtag Embedding Translation) is a model aimed at suggesting a relevant set of hashtags for a given post.
This Exploratory Project includes building a Hashtag Recommendation System for Twitter.
👻 The PyTorch implementation for the IEEE Access paper: "PAC-MAN: Multi-Relation Network in Social Community for Personalized Hashtag Recommendation".
Hashtag recommendation system for media on the cloud
Never let Social Media think that you are always using the same Hashtags! - Taglistify is a Windows Tool that returns a desired amount of randomly selected Hashtags from self-defined Hastaglists.
Add a description, image, and links to the hashtag-recommendation topic page so that developers can more easily learn about it.
To associate your repository with the hashtag-recommendation topic, visit your repo's landing page and select "manage topics."