39 citations · 162 across the 12 of their papers we have counts for
12 papers
Stylistic Retrieval-based Dialogue System with Unparallel Training Data
Hao Fu, Yan Wang, Ruihua Song +2
The ability of a dialog system to express consistent language style during conversations has a direct, positive impact on its usability and on user satisfaction. Although previous…
"Love is as Complex as Math": Metaphor Generation System for Social Chatbot
Danning Zheng, Ruihua Song, Tianran Hu +2
As the wide adoption of intelligent chatbot in human daily life, user demands for such systems evolve from basic task-solving conversations to more casual and friend-like communica…
Mining the Relationship between Emoji Usage Patterns and Personality
Weijian Li, Yuxiao Chen, Tianran Hu +1
Emojis have been widely used in textual communications as a new way to convey nonverbal cues. An interesting observation is the various emoji usage patterns among different users.…
Life in the "Matrix": Human Mobility Patterns in the Cyber Space
Tianran Hu, Jiebo Luo, Wei Liu
With the wide adoption of the multi-community setting in many popular social media platforms, the increasing user engagements across multiple online communities warrant research at…
Touch Your Heart: A Tone-aware Chatbot for Customer Care on Social Media
Tianran Hu, Anbang Xu, Zhe Liu +5
Chatbot has become an important solution to rapidly increasing customer care demands on social media in recent years. However, current work on chatbot for customer care ignores a k…
A World of Difference: Divergent Word Interpretations among People
Tianran Hu, Ruihua Song, Maya Abtahian +3
Divergent word usages reflect differences among people. In this paper, we present a novel angle for studying word usage divergence -- word interpretations. We propose an approach t…
Spice up Your Chat: The Intentions and Sentiment Effects of Using Emoji
Tianran Hu, Han Guo, Hao Sun +2
Emojis, as a new way of conveying nonverbal cues, are widely adopted in computer-mediated communications. In this paper, first from a message sender perspective, we focus on people…
Mining Shopping Patterns for Divergent Urban Regions by Incorporating Mobility Data
Tianran Hu, Ruihua Song, Yingzi Wang +2
What people buy is an important aspect or view of lifestyles. Studying people's shopping patterns in different urban regions can not only provide valuable information for various c…
Tales of Two Cities: Using Social Media to Understand Idiosyncratic Lifestyles in Distinctive Metropolitan Areas
Tianran Hu, Eric Bigelow, Jiebo Luo +1
Lifestyles are a valuable model for understanding individuals' physical and mental lives, comparing social groups, and making recommendations for improving people's lives. In this…
What the Language You Tweet Says About Your Occupation
Tianran Hu, Haoyuan Xiao, Thuy-vy Thi Nguyen +1
Many aspects of people's lives are proven to be deeply connected to their jobs. In this paper, we first investigate the distinct characteristics of major occupation categories base…
Inferring Fine-grained Details on User Activities and Home Location from Social Media: Detecting Drinking-While-Tweeting Patterns in Communities
Nabil Hossain, Tianran Hu, Roghayeh Feizi +3
Nearly all previous work on geo-locating latent states and activities from social media confounds general discussions about activities, self-reports of users participating in those…
Catching Fire via "Likes": Inferring Topic Preferences of Trump Followers on Twitter
Yu Wang, Jiebo Luo, Richard Niemi +2
In this paper, we propose a framework to infer the topic preferences of Donald Trump's followers on Twitter. We first use latent Dirichlet allocation (LDA) to derive the weighted m…