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Found 24 papers, 2 papers with code
Analyzing Linguistic Differences between Owner and Staff Attributed Tweets
Research on social media has to date assumed that all posts from an account are authored by the same person.
Categorizing and Inferring the Relationship between the Text and Image of Twitter Posts
We show that by combining the text and image information, we can build a machine learning approach that accurately distinguishes between the relationship types.
Why Swear? Analyzing and Inferring the Intentions of Vulgar Expressions
Vulgar words are employed in language use for several different functions, ranging from expressing aggression to signaling group identity or the informality of the communication.
Expressively vulgar: The socio-dynamics of vulgarity and its effects on sentiment analysis in social media
Vulgarity is a common linguistic expression and is used to perform several linguistic functions.
User-Level Race and Ethnicity Predictors from Twitter Text
User demographic inference from social media text has the potential to improve a range of downstream applications, including real-time passive polling or quantifying demographic bias.
Controlling Human Perception of Basic User Traits
Much of our online communication is text-mediated and, lately, more common with automated agents.
Personality Driven Differences in Paraphrase Preference
Personality plays a decisive role in how people behave in different scenarios, including online social media.
Beyond Binary Labels: Political Ideology Prediction of Twitter Users
Automatic political orientation prediction from social media posts has to date proven successful only in distinguishing between publicly declared liberals and conservatives in the US.
Predicting Emotional Word Ratings using Distributional Representations and Signed Clustering
Inferring the emotional content of words is important for text-based sentiment analysis, dialogue systems and psycholinguistics, but word ratings are expensive to collect at scale and across languages or domains.
An Empirical Exploration of Moral Foundations Theory in Partisan News Sources
News sources frame issues in different ways in order to appeal or control the perception of their readers.
Studying the Temporal Dynamics of Word Co-occurrences: An Application to Event Detection
Streaming media provides a number of unique challenges for computational linguistics.
Unsupervised document zone identification using probabilistic graphical models
We present results on two different domains: the scientific domain and the technical domain.
