• Aucun résultat trouvé

Uncovering flaming events on news media in social media

N/A
N/A
Protected

Academic year: 2021

Partager "Uncovering flaming events on news media in social media"

Copied!
10
0
0

Texte intégral

Loading

Figure

Fig. 1. The architecture of the multiclass sentiment prediction using word embeddings
TABLE III
Fig. 2. The deep model for extracting sentiment scores
TABLE IV

Références

Documents relatifs

Ukrainian political elites as Soviet ones still believe that media are of a great importance in shaping political orientations and try to influence them. And on the other hand,

To investigate a potential long-term media sentiment effect on the performance of financial markets, we estimate a VAR model, where endogenous variables are the MSCI World

As a prelimi- nary step, We need to formalize the pro- blem of detecting fake news spreaders on social networks based on content and user profiles features6. We will create a da-

These models are useful in three perspectives: the spatio-temporal context in which the events develop, the activity of users that react when a high-impact event happens, and

We performed experiments with data collected from Twitter and six news outlets using ULMFiT language model.. Results show that the algorithm is not robust to noise in data, to bias

We describe and evaluate the typological differences between the three media by applying a corpus-based methodology providing a description of the global discourse organisation of

Computer vision spans a number of areas including 3D-scene (re)construction, indexing of video databases, object tracking and recognition, motion detection and estimation, and

Eldiario.es (Spain), The Correspondent (Netherlands), The Intercept Brasil and Mediapart (France), all out- lets that originated online and which we will study in this article,