430 citations · 1.5k across the 43 of their papers we have counts for
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Overcoming Language Variation in Sentiment Analysis with Social Attention
Yi Yang, Jacob Eisenstein
Variation in language is ubiquitous, particularly in newer forms of writing such as social media. Fortunately, variation is not random, it is often linked to social properties of t…
Emoticons vs. Emojis on Twitter: A Causal Inference Approach
Umashanthi Pavalanathan, Jacob Eisenstein
Online writing lacks the non-verbal cues present in face-to-face communication, which provide additional contextual information about the utterance, such as the speaker's intention…
Better Document-level Sentiment Analysis from RST Discourse Parsing
Parminder Bhatia, Yangfeng Ji, Jacob Eisenstein
Discourse structure is the hidden link between surface features and document-level properties, such as sentiment polarity. We show that the discourse analyses produced by Rhetorica…
Confounds and Consequences in Geotagged Twitter Data
Umashanthi Pavalanathan, Jacob Eisenstein
Twitter is often used in quantitative studies that identify geographically-preferred topics, writing styles, and entities. These studies rely on either GPS coordinates attached to…