• Publications
  • Influence
Mining and summarizing customer reviews
TLDR
This research aims to mine and to summarize all the customer reviews of a product, and proposes several novel techniques to perform these tasks. Expand
Sentiment Analysis and Opinion Mining
  • B. Liu
  • Computer Science
  • Synthesis Lectures on Human Language Technologies
  • 2012
This 2012 book is written as a comprehensive introductory and survey text for sentiment analysis and opinion mining, a field of study that investigates computational techniques for analyzing text toExpand
Remdesivir in adults with severe COVID-19: a randomised, double-blind, placebo-controlled, multicentre trial
TLDR
In this study of adult patients admitted to hospital for severe COVID-19, remdesivir was not associated with statistically significant clinical benefits, however, the numerical reduction in time to clinical improvement in those treated earlier requires confirmation in larger studies. Expand
Review spam detection
TLDR
This paper makes an attempt to study review spam and spam detection. Expand
Clustering product features for opinion mining
TLDR
This paper models the sentiment analysis of product reviews problem as a semi-supervised learning problem, and proposes a method to automatically identify some labeled examples that outperforms existing state-of-the-art methods. Expand
The presence of SARS‐CoV‐2 RNA in the feces of COVID‐19 patients
TLDR
The results demonstrated the presence of Sars‐CoV‐2 RNA in the feces of COVID‐19 patients and suggested the possibility of SARS‐Cov‐2 transmission via the fecal‐oral route. Expand
Grouping Product Features Using Semi-Supervised Learning with Soft-Constraints
TLDR
Experimental results using reviews from five different domains show that the proposed constrained semi-supervised learning method is competent for the task and outperforms the original EM and the state-of-the-art existing methods by a large margin. Expand
Constrained LDA for Grouping Product Features in Opinion Mining
TLDR
This paper first extends a popular topic modeling method, called Latent Dirichlet Allocation (LDA), with the ability to process large scale constraints, and two novel methods are proposed to extract two types of constraints automatically. Expand
Mining Aspect-Specific Opinion using a Holistic Lifelong Topic Model
TLDR
A holistic fine-grained topic model that can simultaneously model all of above problems under a unified framework is proposed and the idea of lifelong machine learning is incorporated and a more advanced model is proposed, called the LAST (Lifelong Aspect-based Sentiment Topic) model. Expand
Effects of enhanced UV-B radiation on seed growth characteristics and yield components in soybean
Abstract In order to understand the effects of enhanced ultraviolet-B (UV-B) radiation on soybean yield components and seed growth characteristics, three determinate soybean cultivars, Hai339 (H339),Expand
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