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Found 7 papers, 1 papers with code
A Comparative Study on Word Embeddings and Social NLP Tasks
In recent years, gray social media platforms, those with a loose moderation policy on cyberbullying, have been attracting more users.
What Are You Anxious About? Examining Subjects of Anxiety during the COVID-19 Pandemic
First, we identified nine subjects of anxiety (SOAs) in a sample of Reddit posts ($N$=86) from r/COVID19\_support using thematic analysis.
Don't Take it Personally: Analyzing Gender and Age Differences in Ratings of Online Humor
Computational humor detection systems rarely model the subjectivity of humor responses, or consider alternative reactions to humor - namely offense.
Analyzing Temporal Relationships between Trending Terms on Twitter and Urban Dictionary Activity
However, it is unclear exactly how activity on this platform relates to larger conversations happening elsewhere on the web, such as discussions on larger, more popular social media platforms.
Predicting Human Activities from User-Generated Content
The activities we do are linked to our interests, personality, political preferences, and decisions we make about the future.
Multi-Label Transfer Learning for Multi-Relational Semantic Similarity
Multi-relational semantic similarity datasets define the semantic relations between two short texts in multiple ways, e. g., similarity, relatedness, and so on.
Direct Network Transfer: Transfer Learning of Sentence Embeddings for Semantic Similarity
Sentence encoders, which produce sentence embeddings using neural networks, are typically evaluated by how well they transfer to downstream tasks.
