Jumping NLP curves: A review of natural language processing research
E Cambria, B White - IEEE Computational intelligence …, 2014 - ieeexplore.ieee.org
Natural language processing (NLP) is a theory-motivated range of computational techniques
for the automatic analysis and representation of human language. NLP research has …
for the automatic analysis and representation of human language. NLP research has …
Affect detection: An interdisciplinary review of models, methods, and their applications
This survey describes recent progress in the field of Affective Computing (AC), with a focus
on affect detection. Although many AC researchers have traditionally attempted to remain …
on affect detection. Although many AC researchers have traditionally attempted to remain …
Dealing with disagreements: Looking beyond the majority vote in subjective annotations
Majority voting and averaging are common approaches used to resolve annotator
disagreements and derive single ground truth labels from multiple annotations. However …
disagreements and derive single ground truth labels from multiple annotations. However …
Dynabench: Rethinking benchmarking in NLP
We introduce Dynabench, an open-source platform for dynamic dataset creation and model
benchmarking. Dynabench runs in a web browser and supports human-and-model-in-the …
benchmarking. Dynabench runs in a web browser and supports human-and-model-in-the …
On releasing annotator-level labels and information in datasets
A common practice in building NLP datasets, especially using crowd-sourced annotations,
involves obtaining multiple annotator judgements on the same data instances, which are …
involves obtaining multiple annotator judgements on the same data instances, which are …
A survey of multimodal sentiment analysis
Sentiment analysis aims to automatically uncover the underlying attitude that we hold
towards an entity. The aggregation of these sentiment over a population represents opinion …
towards an entity. The aggregation of these sentiment over a population represents opinion …
Sentiment analysis of short informal texts
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 …
short informal textual messages such as tweets and SMS (message-level task) and (b) the …
Sentiment analysis: Detecting valence, emotions, and other affectual states from text
SM Mohammad - Emotion measurement, 2016 - Elsevier
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 …
some other affectual state of the author. This chapter summarizes the diverse landscape of …
Crowdsourcing a word–emotion association lexicon
SM Mohammad, PD Turney - Computational intelligence, 2013 - Wiley Online Library
Even though considerable attention has been given to the polarity of words (positive and
negative) and the creation of large polarity lexicons, research in emotion analysis has had to …
negative) and the creation of large polarity lexicons, research in emotion analysis has had to …