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Measuring Sentiment Annotation Complexity of Text
Aditya Joshi
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Abhijit Mishra
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Nivvedan Senthamilselvan
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Pushpak Bhattacharyya
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Paper Details:
Month: June
Year: 2014
Location: Baltimore, Maryland
Venue:
ACL |
Citations
URL
A Cognition Based Attention Model for Sentiment Analysis
Yunfei Long
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Qin Lu
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Rong Xiang
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Minglei Li
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Chu-Ren Huang
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Leveraging Cognitive Features for Sentiment Analysis
Abhijit Mishra
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Diptesh Kanojia
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Seema Nagar
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Kuntal Dey
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Pushpak Bhattacharyya
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Learning Cognitive Features from Gaze Data for Sentiment and Sarcasm Classification using Convolutional Neural Network
Abhijit Mishra
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Kuntal Dey
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Pushpak Bhattacharyya
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Eyes are the Windows to the Soul: Predicting the Rating of Text Quality Using Gaze Behaviour
Sandeep Mathias
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Diptesh Kanojia
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Kevin Patel
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Samarth Agrawal
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Abhijit Mishra
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Pushpak Bhattacharyya
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An Eye-tracking Study of Named Entity Annotation
Takenobu Tokunaga
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Hitoshi Nishikawa
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Tomoya Iwakura
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Leveraging Annotators’ Gaze Behaviour for Coreference Resolution
Joe Cheri
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Abhijit Mishra
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Pushpak Bhattacharyya
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Towards grounding computational linguistic approaches to readability: Modeling reader-text interaction for easy and difficult texts
Sowmya Vajjala
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Detmar Meurers
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Alexander Eitel
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Katharina Scheiter
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Quantifying sentence complexity based on eye-tracking measures
Abhinav Deep Singh
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Poojan Mehta
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Samar Husain
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Rajkumar Rajakrishnan
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http://help.sentiment140
http://nlp.stanford.edu/software/
http://scikit-learn.org/stable/
Field Of Study
Linguistic Trends
Discourse
Task
Sentiment Analysis
Language
English
Dataset
Twitter
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