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PEOPLES - 2018
Total Papers:- 17
Total Papers accross all years:- 33
Total Citations :- 6
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Enabling Deep Learning of Emotion With First-Person Seed Expressions
Hassan Alhuzali |
Muhammad Abdul-Mageed |
Lyle Ungar |
Frustrated, Polite, or Formal: Quantifying Feelings and Tone in Email
Niyati Chhaya |
Kushal Chawla |
Tanya Goyal |
Projjal Chanda |
Jaya Singh |
Reddit: A Gold Mine for Personality Prediction
Matej Gjurković |
Jan Šnajder |
Proceedings of the Second Workshop on Computational Modeling of People’s Opinions, Personality, and Emotions in Social Media
Malvina Nissim |
Viviana Patti |
Barbara Plank |
Claudia Wagner |
What makes us laugh? Investigations into Automatic Humor Classification
Vikram Ahuja |
Taradheesh Bali |
Navjyoti Singh |
Social and Emotional Correlates of Capitalization on Twitter
Sophia Chan |
Alona Fyshe |
Building an annotated dataset of app store reviews with Appraisal features in English and Spanish
Natalia Mora |
Julia Lavid-López |
A Dataset of Hindi-English Code-Mixed Social Media Text for Hate Speech Detection
Aditya Bohra |
Deepanshu Vijay |
Vinay Singh |
Syed Sarfaraz Akhtar |
Manish Shrivastava |
The Social and the Neural Network: How to Make Natural Language Processing about People again
Dirk Hovy |
Observational Comparison of Geo-tagged and Randomly-drawn Tweets
Tom Lippincott |
Annabelle Carrell |
Johns Hopkins or johnny-hopkins: Classifying Individuals versus Organizations on Twitter
Zach Wood-Doughty |
Praateek Mahajan |
Mark Dredze |
The Potential of the Computational Linguistic Analysis of Social Media for Population Studies
Letizia Mencarini |
Understanding the Effect of Gender and Stance in Opinion Expression in Debates on “Abortion”
Esin Durmus |
Claire Cardie |
Predicting Authorship and Author Traits from Keystroke Dynamics
Barbara Plank |
Predicting Twitter User Demographics from Names Alone
Zach Wood-Doughty |
Nicholas Andrews |
Rebecca Marvin |
Mark Dredze |
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