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Capturing Reliable Fine-Grained Sentiment Associations by Crowdsourcing and Best–Worst Scaling
Svetlana Kiritchenko
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Saif M. Mohammad
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Paper Details:
Month: June
Year: 2016
Location: San Diego, California
Venue:
NAACL |
Citations
URL
Sentiment Intensity Ranking among Adjectives Using Sentiment Bearing Word Embeddings
Raksha Sharma
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Arpan Somani
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Lakshya Kumar
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Pushpak Bhattacharyya
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Bringing Structure into Summaries: Crowdsourcing a Benchmark Corpus of Concept Maps
Tobias Falke
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Iryna Gurevych
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Weeding out Conventionalized Metaphors: A Corpus of Novel Metaphor Annotations
Erik-Lân Do Dinh
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Hannah Wieland
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Iryna Gurevych
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Assessing the Verifiability of Attributions in News Text
Edward Newell
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Ariane Schang
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Drew Margolin
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Derek Ruths
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Word Affect Intensities
Saif Mohammad
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Understanding Emotions: A Dataset of Tweets to Study Interactions between Affect Categories
Saif Mohammad
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Svetlana Kiritchenko
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Generating a Gold Standard for a Swedish Sentiment Lexicon
Jacobo Rouces
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Nina Tahmasebi
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Lars Borin
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Stian Rødven Eide
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Sentiment Composition of Words with Opposing Polarities
Svetlana Kiritchenko
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Saif M. Mohammad
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Best-Worst Scaling More Reliable than Rating Scales: A Case Study on Sentiment Intensity Annotation
Svetlana Kiritchenko
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Saif Mohammad
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Obtaining Reliable Human Ratings of Valence, Arousal, and Dominance for 20,000 English Words
Saif Mohammad
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SemEval-2016 Task 7: Determining Sentiment Intensity of English and Arabic Phrases
Svetlana Kiritchenko
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Saif Mohammad
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Mohammad Salameh
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Emotion Intensities in Tweets
Saif Mohammad
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Felipe Bravo-Marquez
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SemEval-2018 Task 1: Affect in Tweets
Saif Mohammad
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Felipe Bravo-Marquez
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Mohammad Salameh
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Svetlana Kiritchenko
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IIT Delhi at SemEval-2018 Task 1 : Emotion Intensity Prediction
Bhaskar Kotakonda
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Prashanth Gowda
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Brejesh Lall
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The Effect of Negators, Modals, and Degree Adverbs on Sentiment Composition
Svetlana Kiritchenko
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Saif Mohammad
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A Practical Guide to Sentiment Annotation: Challenges and Solutions
Saif Mohammad
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Readers vs. Writers vs. Texts: Coping with Different Perspectives of Text Understanding in Emotion Annotation
Sven Buechel
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Udo Hahn
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WASSA-2017 Shared Task on Emotion Intensity
Saif Mohammad
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Felipe Bravo-Marquez
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Enabling Deep Learning of Emotion With First-Person Seed Expressions
Hassan Alhuzali
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Muhammad Abdul-Mageed
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Lyle Ungar
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http://www.saifmohammad.com/WebPages/BestWorst.html
Field Of Study
Task
Sentiment Analysis
Machine Translation
Approach
Representation Learning
Language
English
Arabic
Dataset
Social Media
Twitter
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