Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: spam review detection through lexical chain based semantic similarity algorithm ( lcbss ) for negative reviews .
Text mining and probabilistic language modeling for online review spam detection
Handling Cold-Start Problem in Review Spam Detection by Jointly Embedding Texts and Behaviors
Capturing Word Choice Patterns with LDA for Fake Review Detection in Sentiment Analysis
senti - lexicon and improved naive bayes algorithms for sentiment analysis of restaurant reviews .
Feature Based Sentiment Analysis for Service Reviews.
Detecting Fake Reviews Utilizing Semantic and Emotion Model
Spam Detection Framework for Online Reviews Using Hadoop’ s Computational Capability
Negation-Aware Framework for Sentiment Analysis in Arabic Reviews
Analyzing Opinion Spammers’ Network Behavior in Online Review Systems
Negation scope detection with recurrent neural networks models in review texts
Identification of spam comments using natural language processing techniques
Comparison between LSA-LDA-Lexical Chains
Using Deep Linguistic Features for Finding Deceptive Opinion Spam
Fine-grained Sentiment Analysis of Chinese Reviews Using LSTM Network
Finding of Review Spam through "Corleone, Review Genre, Writing Style and Review Text Detail Features"
Enhanced Topic-based Vector Space Model for semantics-aware spam filtering
An empirical study on detecting fake reviews using machine learning techniques
Sentiment analysis and classification based on textual reviews
A Scalable, Lexicon Based Technique for Sentiment Analysis
A survey on sentiment detection of reviews
Addressing the problems of data-centric physiology-affect relations modeling
Bottom-Up &amp; Top-down Object Detection using Primal Sketch Features and Graphical Models
Automatically Assessing Review Helpfulness
Modeling HTTP/2 Speed from HTTP/1 Traces
WiFi repeater deployment for improved communication in confined-space urban disaster search