Zobrazeno 1 - 10
of 196
pro vyhledávání: '"Mozetič, Igor"'
ChatGPT has shown strong capabilities in natural language generation tasks, which naturally leads researchers to explore where its abilities end. In this paper, we examine whether ChatGPT can be used for zero-shot text classification, more specifical
Externí odkaz:
http://arxiv.org/abs/2303.03953
Publikováno v:
B. Evkoski, A. Pelicon, I. Mozeti\v{c}, N. Ljube\v{s}i\'c, P. Kralj Novak. Retweet communities reveal the main sources of hate speech, PLoS ONE 17(3): e0265602, 2022
We address a challenging problem of identifying main sources of hate speech on Twitter. On one hand, we carefully annotate a large set of tweets for hate speech, and deploy advanced deep learning to produce high quality hate speech classification mod
Externí odkaz:
http://arxiv.org/abs/2105.14898
Autor:
Cinelli, Matteo, Pelicon, Andraž, Mozetič, Igor, Quattrociocchi, Walter, Novak, Petra Kralj, Zollo, Fabiana
Online debates are often characterised by extreme polarisation and heated discussions among users. The presence of hate speech online is becoming increasingly problematic, making necessary the development of appropriate countermeasures. In this work,
Externí odkaz:
http://arxiv.org/abs/2105.14005
Publikováno v:
PLoS ONE 16(9): e0256175, 2021
Communities in social networks often reflect close social ties between their members and their evolution through time. We propose an approach that tracks two aspects of community evolution in retweet networks: flow of the members in, out and between
Externí odkaz:
http://arxiv.org/abs/2105.06214
Word embeddings represent words in a numeric space so that semantic relations between words are represented as distances and directions in the vector space. Cross-lingual word embeddings transform vector spaces of different languages so that similar
Externí odkaz:
http://arxiv.org/abs/2005.07456
Publikováno v:
Machine Learning 109:1997-2028, 2020
Performance estimation aims at estimating the loss that a predictive model will incur on unseen data. These procedures are part of the pipeline in every machine learning project and are used for assessing the overall generalisation ability of predict
Externí odkaz:
http://arxiv.org/abs/1905.11744
Currency trading (Forex) is the largest world market in terms of volume. We analyze trading and tweeting about the EUR-USD currency pair over a period of three years. First, a large number of tweets were manually labeled, and a Twitter stance classif
Externí odkaz:
http://arxiv.org/abs/1804.02233
Publikováno v:
PLoS ONE 13(3): e0194317, 2018
Social media are becoming an increasingly important source of information about the public mood regarding issues such as elections, Brexit, stock market, etc. In this paper we focus on sentiment classification of Twitter data. Construction of sentime
Externí odkaz:
http://arxiv.org/abs/1803.05160
Publikováno v:
PLoS ONE 12(2): e0173151, 2017
We investigate the relationship between social media, Twitter in particular, and stock market. We provide an in-depth analysis of the Twitter volume and sentiment about the 30 companies in the Dow Jones Industrial Average index, over a period of thre
Externí odkaz:
http://arxiv.org/abs/1611.02090
Publikováno v:
PLoS ONE 11(11): e0166586, 2016
We study the cohesion within and the coalitions between political groups in the Eighth European Parliament (2014--2019) by analyzing two entirely different aspects of the behavior of the Members of the European Parliament (MEPs) in the policy-making
Externí odkaz:
http://arxiv.org/abs/1608.04917