polyusmart/Personalized-Hashtag-Preferences
The official implementation of EMNLP 2021 paper "#HowYouTagTweets: Learning User Hashtagging Preferences via Personalized Topic Attention"
This project helps social media managers and marketers understand and predict how users on platforms like Twitter choose hashtags. By analyzing a user's past tweets and the context of existing posts with certain hashtags, it predicts which hashtags a specific user is most likely to use next. The outcome is a ranked list of hashtags tailored to individual user preferences, useful for content personalization and trending topic identification.
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Use this if you need to predict which hashtags a specific social media user will engage with, based on their past activity and current hashtag contexts.
Not ideal if you're looking for real-time hashtag recommendations for a general audience or if you need to understand overall hashtag trends without individual user context.
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11
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4
Language
Python
License
MIT
Category
Last pushed
Feb 21, 2023
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