DE eng

Search in the Catalogues and Directories

Page: 1 2 3
Hits 1 – 20 of 41

1
hate-alert@DravidianLangTech-ACL2022: Ensembling Multi-Modalities for Tamil TrollMeme Classification ...
BASE
Show details
2
Data Bootstrapping Approaches to Improve Low Resource Abusive Language Detection for Indic Languages ...
BASE
Show details
3
A Data Bootstrapping Recipe for Low Resource Multilingual Relation Classification ...
BASE
Show details
4
Hate-Alert@DravidianLangTech-EACL2021: Ensembling strategies for Transformer-based Offensive language Detection ...
BASE
Show details
5
When expertise gone missing: Uncovering the loss of prolific contributors in Wikipedia ...
BASE
Show details
6
Debiasing Multilingual Word Embeddings: A Case Study of Three Indian Languages ...
BASE
Show details
7
Deep Learning Models for Multilingual Hate Speech Detection ...
BASE
Show details
8
Code-switching patterns can be an effective route to improve performance of downstream NLP applications: A case study of humour, sarcasm and hate speech detection ...
BASE
Show details
9
Thou Shalt Not Hate: Countering Online Hate Speech
In: Proceedings of the International AAAI Conference on Web and Social Media; Vol. 13 (2019): Thirteenth International AAAI Conference on Web and Social Media; 369-380 ; 2334-0770 ; 2162-3449 (2019)
BASE
Show details
10
On the Compositionality Prediction of Noun Phrases using Poincaré Embeddings ...
BASE
Show details
11
StRE: Self Attentive Edit Quality Prediction in Wikipedia ...
BASE
Show details
12
Deep Dive into Anonymity: A Large Scale Analysis of Quora Questions ...
BASE
Show details
13
Detecting Reliable Novel Word Senses: A Network-Centric Approach ...
BASE
Show details
14
CL Scholar: The ACL Anthology Knowledge Graph Miner ...
BASE
Show details
15
Analyzing the hate and counter speech accounts on Twitter ...
Mathew, Binny; Kumar, Navish; Ravina. - : arXiv, 2018
BASE
Show details
16
What Propels Celebrity Follower Counts? Language Use or Social Connectivity ...
BASE
Show details
17
Understanding Psycholinguistic Behavior of predominant drunk texters in Social Media ...
Abstract: In the last decade, social media has evolved as one of the leading platform to create, share, or exchange information; it is commonly used as a way for individuals to maintain social connections. In this online digital world, people use to post texts or pictures to express their views socially and create user-user engagement through discussions and conversations. Thus, social media has established itself to bear signals relating to human behavior. One can easily design user characteristic network by scraping through someone's social media profiles. In this paper, we investigate the potential of social media in characterizing and understanding predominant drunk texters from the perspective of their social, psychological and linguistic behavior as evident from the content generated by them. Our research aims to analyze the behavior of drunk texters on social media and to contrast this with non-drunk texters. We use Twitter social media to obtain the set of drunk texters and non-drunk texters and show that we ... : 6 pages, 8 Figures, ISCC 2018 Workshops - ICTS4eHealth 2018 ...
Keyword: Computers and Society cs.CY; FOS Computer and information sciences
URL: https://arxiv.org/abs/1805.10774
https://dx.doi.org/10.48550/arxiv.1805.10774
BASE
Hide details
18
AppTechMiner: Mining Applications and Techniques from Scientific Articles ...
BASE
Show details
19
Language Use Matters: Analysis of the Linguistic Structure of Question Texts Can Characterize Answerability in Quora ...
BASE
Show details
20
Language Use Matters: Analysis of the Linguistic Structure of Question Texts Can Characterize Answerability in Quora
In: Proceedings of the International AAAI Conference on Web and Social Media; Vol. 11 No. 1 (2017): Eleventh International AAAI Conference on Web and Social Media ; 2334-0770 ; 2162-3449 (2017)
BASE
Show details

Page: 1 2 3

Catalogues
0
0
4
0
0
0
0
Bibliographies
5
0
0
0
0
0
0
0
0
Linked Open Data catalogues
0
Online resources
0
0
0
0
Open access documents
36
0
0
0
0
© 2013 - 2024 Lin|gu|is|tik | Imprint | Privacy Policy | Datenschutzeinstellungen ändern