Sentiment analysis in Twitter is a field that has recently attracted research interest. Twitter is
one of the most popular microblog platforms on which users can publish their thoughts and …

The rise of social media has brought computational linguistics in ever-closer contact with
bad language: text that defies our expectations about vocabulary, spelling, and syntax. This …

Detection of abusive language in user generated online content has become an issue of
increasing importance in recent years. Most current commercial methods make use of …

We describe a state-of-the-art sentiment analysis system that detects (a) the sentiment of
short informal textual messages such as tweets and SMS (message-level task) and (b) the …

Sentiment analysis is the task of automatically determining from text the attitude, emotion, or
some other affectual state of the author. This chapter summarizes the diverse landscape of …

Sentiment analysis and opinion mining is the field of study that analyzes people's opinions,
sentiments, evaluations, attitudes, and emotions from written language. It is one of the most …

We consider the problem of part-of-speech tagging for informal, online conversational text.
We systematically evaluate the use of large-scale unsupervised word clustering and new …

Sentiment analysis is the computational study of people's opinions, sentiments, emotions,
moods, and attitudes. This fascinating problem offers numerous research challenges, but …

As algorithmically-driven content curation has become an increasingly common feature of
social media platforms, user resistance to algorithmic change has become more frequent …

In this paper, we introduce a novel sociotechnical moderation system for Reddit called
Crossmod. Through formative interviews with 11 active moderators from 10 different …