Deep learning in sentiment analysis: Recent architectures

T Abdullah, A Ahmet - ACM Computing Surveys, 2022 - dl.acm.org
Humans are increasingly integrated with devices that enable the collection of vast
unstructured opinionated data. Accurately analysing subjective information from this data is …

A survey of Twitter research: Data model, graph structure, sentiment analysis and attacks

D Antonakaki, P Fragopoulou, S Ioannidis - Expert systems with …, 2021 - Elsevier
Twitter is the third most popular worldwide Online Social Network (OSN) after Facebook and
Instagram. Compared to other OSNs, it has a simple data model and a straightforward data …

A systematic review of predicting elections based on social media data: research challenges and future directions

KDS Brito, RLC Silva Filho… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The way politicians communicate with the electorate and run electoral campaigns was
reshaped by the emergence and popularization of contemporary social media (SM), such as …

[BOOK][B] Politics and big data: Nowcasting and forecasting elections with social media

A Ceron, L Curini, SM Iacus - 2016 - taylorfrancis.com
The importance of social media as a way to monitor an electoral campaign is well
established. Day-by-day, hour-by-hour evaluation of the evolution of online ideas and …

A soft set theoretic approach to network complexity and a case study for Turkish Twitter users

Ö Akgüller - Applied Soft Computing, 2023 - Elsevier
There are a few different angles from which to examine the question of how to determine
whether social networks, which belong to the category of complex systems, are neither …

Technical sentiment analysis. Measuring advantages and drawbacks of new products using social media

F Chiarello, A Bonaccorsi, G Fantoni - Computers in Industry, 2020 - Elsevier
The paper contributes to the literature on sentiment analysis by introducing a new
knowledge-based lexicon. The lexicon, based on fundamental research and systematic …

Social media analysis during political turbulence

D Antonakaki, D Spiliotopoulos, C V. Samaras… - PloS one, 2017 - journals.plos.org
Today, a considerable proportion of the public political discourse on nationwide elections
proceeds in Online Social Networks. Through analyzing this content, we can discover the …

A survey on computational politics

EU Haq, T Braud, YD Kwon, P Hui - IEEE Access, 2020 - ieeexplore.ieee.org
Computational Politics is the study of computational methods to analyze and moderate
users' behaviors related to political activities such as election campaign persuasion, political …

A survey on the use of data and opinion mining in social media to political electoral outcomes prediction

JS Santos, F Bernardini, A Paes - Social Network Analysis and Mining, 2021 - Springer
Election polls are the de facto mechanisms to predict political outcomes. Traditionally, they
are conducted with personal interviews and questionnaires. This process is costly and time …

Application of Twitter sentiment analysis in election prediction: a case study of 2019 Indian general election

P Chauhan, N Sharma, G Sikka - Social Network Analysis and Mining, 2023 - Springer
Everyone must have experienced a huge collection of political content on their social media
account's home page during election time. Most of the users are busy in liking, sharing, and …