Search Results for author:
Found 12 papers, 0 papers with code
Multi-Channel Convolutional Neural Network for Twitter Emotion and Sentiment Recognition
It provides a great way to understand human psychology and impose a challenge to researchers to analyze their content easily.
Detection of Propaganda Using Logistic Regression
Various propaganda techniques are used to manipulate peoples perspectives in order to foster a predetermined agenda such as by the use of logical fallacies or appealing to the emotions of the audience.
A Lexicon-Based Approach for Detecting Hedges in Informal Text
Our work produced three manually constructed lists of hedge words, booster words, and hedging phrases.
TV-AfD: An Imperative-Annotated Corpus from The Big Bang Theory and Wikipedia's Articles for Deletion Discussions
With this corpus, we also examined the performance of the rule-based imperative detection tool.
syrapropa at SemEval-2020 Task 11: BERT-based Models Design For Propagandistic Technique and Span Detection
This paper describes the BERT-based models proposed for two subtasks in SemEval-2020 Task 11: Detection of Propaganda Techniques in News Articles.
Tree Representations in Transition System for RST Parsing
In our paper, we design a new nuclear type for the multi-nuclear relations, and a new action to construct a multi-branch tree.
Effects of Anonymity on Comment Persuasiveness in Wikipedia Articles for Deletion Discussions
It has been shown that anonymity affects various aspects of online communications such as message credibility, the trust among communicators, and the participants’ accountability and reputation.
Neural-based RST Parsing And Analysis In Persuasive Discourse
Contributing to this analysis direction for social media studies, we build an openly accessible neural RST parsing system that analyzes discourse relations in an online comment.
Identifying Tension in Holocaust Survivors’ Interview: Code-switching/Code-mixing as Cues
Our CS/CM annotated interview corpus is openly accessible.
