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Found 3 papers, 1 papers with code
Nested Variational Autoencoder for Topic Modeling on Microtexts with Word Vectors
The objective of our research is to create a topic model that can achieve great performances on microtexts while requiring a small runtime for scalability to large datasets.
Combination of Domain Knowledge and Deep Learning for Sentiment Analysis of Short and Informal Messages on Social Media
However, when applied with real data obtained from social media, we notice that there is a high volume of short and informal messages posted by users on those channels.
Combination of Domain Knowledge and Deep Learning for Sentiment Analysis
In particular, when analyzing the applications of deep learning in sentiment analysis, we found that the current approaches are suffering from the following drawbacks: (i) the existing works have not paid much attention to the importance of different types of sentiment terms, which is an important concept in this area; and (ii) the loss function currently employed does not well reflect the degree of error of sentiment misclassification.
