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 Generator - Convert Keywords to hashtag - Generate Hastag for your Facebook, instagram, Twitter and Telegram Posts.
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.
A Browser extension that provides real-time hashtag recommendations using NLP and machine learning to enhance social media reach.
Hashtag Generator - Convert Keywords to hashtag - Generate Hastag for your Facebook, instagram, Twitter and Telegram Posts.
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."