Multi-source information fusion and deep-learning-based characteristics measurement for exploring the effects of peer engagement on stock price synchronicity

L Li, F Zhu, H Sun, Y Hu, Y Yang, D Jin - Information Fusion, 2021 - Elsevier
By combining financial information from the financial market with social textual information
from social media, we apply a two-level information fusion approach to examine the effects …

Best practices for crowd-based evaluation of German summarization: Comparing crowd, expert and automatic evaluation

N Iskender, T Polzehl, S Möller - Proceedings of the First …, 2020 - aclanthology.org
One of the main challenges in the development of summarization tools is summarization
quality evaluation. On the one hand, the human assessment of summarization quality …

Who are they talking about? Detecting mentions of social groups in political texts with supervised learning

H Licht, R Sczepanksi - 2024 - econstor.eu
Politicians appeal to social groups to court their electoral support. However, quantifying
which groups politicians refer to, claim to represent, or address in their public …

Elicitation and aggregation of multimodal estimates improve wisdom of crowd effects on ordering tasks

Y Yoo, AR Escobedo, R Kemmer, E Chiou - Scientific reports, 2024 - nature.com
We present a wisdom of crowds study where participants are asked to order a small set of
images based on the number of dots they contain and then to guess the respective number …

Towards a reliable and robust methodology for crowd-based subjective quality assessment of query-based extractive text summarization

N Iskender, T Polzehl, S Möller - Proceedings of the Twelfth …, 2020 - aclanthology.org
The intrinsic and extrinsic quality evaluation is an essential part of the summary evaluation
methodology usually conducted in a traditional controlled laboratory environment. However …

Homophily-aware correction framework for crowdsourced labels using heterogeneous information network

Q Wang, J Lu, W Li, J Zhang, VS Sheng - Expert Systems with Applications, 2022 - Elsevier
Crowdsourcing provides a cost-effective and convenient way for label collection, but it fails
to guarantee the quality of crowdsourced labels. On the one hand, it is impossible to obtain …

Measuring and understanding parties' anti-elite strategies

H Licht, T Abou-Chadi, P Barberá, W Hua - 2024 - journals.uchicago.edu
This article presents a new measure and analysis of parties' anti-elite appeals. In order to
measure parties' anti-elite appeals we apply crowd-sourced coding, supervised machine …

Judgment Analysis in a Streaming Setting Incurring Logarithmic Space of the Annotators

J Patel, S Mandal, M Bhattacharyya - International Conference on Pattern …, 2024 - Springer
Judgment analysis in a crowdsourcing environment refers to seeking opinions from a
diverse and large set of online annotators for various applications and making a consensus …

Aggregation of Constrained Crowd Opinions for Urban Planning

A Das, J Patel, M Bhattacharyya - arXiv preprint arXiv:2410.02454, 2024 - arxiv.org
Collective decision making is often a customary action taken in government crowdsourcing.
Through ensemble of opinions (popularly known as judgment analysis), governments can …

Deep Gaussian processes for music mood estimation and retrieval with locally aggregated acoustic Fisher vector

S Chapaneri, D Jayaswal - Sādhanā, 2020 - Springer
Due to the subjective nature of music mood, it is challenging to computationally model the
affective content of the music. In this work, we propose novel features known as locally …