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 …
unstructured opinionated data. Accurately analysing subjective information from this data is …
A survey of Twitter research: Data model, graph structure, sentiment analysis and attacks
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 …
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
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 …
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
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 …
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 …
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
The paper contributes to the literature on sentiment analysis by introducing a new
knowledge-based lexicon. The lexicon, based on fundamental research and systematic …
knowledge-based lexicon. The lexicon, based on fundamental research and systematic …
Social media analysis during political turbulence
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 …
proceeds in Online Social Networks. Through analyzing this content, we can discover the …
A survey on computational politics
Computational Politics is the study of computational methods to analyze and moderate
users' behaviors related to political activities such as election campaign persuasion, political …
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
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 …
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
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 …
account's home page during election time. Most of the users are busy in liking, sharing, and …