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Interpreting the Syntactic and Social Elements of the Tweet Representations via Elementary Property Prediction Tasks
[article]
2016
arXiv
pre-print
Research in social media analysis is experiencing a recent surge with a large number of works applying representation learning models to solve high-level syntactico-semantic tasks such as sentiment analysis, semantic textual similarity computation, hashtag prediction and so on. Although the performance of the representation learning models are better than the traditional baselines for the tasks, little is known about the core properties of a tweet encoded within the representations.
arXiv:1611.04887v1
fatcat:4t7rx5nct5e43grsqyalihutxq