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 …

Can twitter analytics predict election outcome? An insight from 2017 Punjab assembly elections

P Singh, YK Dwivedi, KS Kahlon, A Pathania… - Government Information …, 2020 - Elsevier
Since the beginning of this decade, there has seen an exponential growth in number of
internet users using social media, especially Twitter for sharing their views on various topics …

[PDF][PDF] Improving Sentiment Analysis in Election-Based Conversations on Twitter with ElecBERT Language Model.

A Khan, H Zhang, N Boudjellal… - … , Materials & Continua, 2023 - cdn.techscience.cn
Sentiment analysis plays a vital role in understanding public opinions and sentiments
toward various topics. In recent years, the rise of social media platforms (SMPs) has …

AI-based Twitter framework for assessing the involvement of government schemes in electoral campaigns

A Dhiman, D Toshniwal - Expert Systems with Applications, 2022 - Elsevier
The government schemes (also known as programs and plans) or social welfare policies
can be defined as the set of assistance and aids provided by the country's governance body …

Analysis and mining of an election-based network using large-scale twitter data: a retrospective study

A Chakraborty, N Mukherjee - Social Network Analysis and Mining, 2023 - Springer
The user-generated Twitter data are a rich source of study and research that reflects the
various social, economic, political, and other issues affecting people across the world …

Estimating ideology and polarization in European countries using Facebook data

F Caravaca, J González-Cabañas, Á Cuevas… - EPJ Data …, 2022 - epjds.epj.org
Researchers have studied political ideology and polarization in many different contexts
since their effects are usually closely related to aspects and actions of individuals and …

[PDF][PDF] From Social Media to Ballot Box: Leveraging Location-Aware Sentiment Analysis for Election Predictions.

A Khan, N Boudjellal, H Zhang… - … , Materials & Continua, 2023 - cdn.techscience.cn
Predicting election outcomes is a crucial undertaking, and various methods are employed
for this purpose, such as traditional opinion polling, and social media analysis. However …

Predicting the outcome of Spanish general elections 2016 using Twitter as a tool

P Singh, RS Sawhney, KS Kahlon - … 2017, Jalandhar, India, March 17–18 …, 2017 - Springer
In recent years, twitter has become a popular micro blogging tool among the people world
over. These persons post small messages depicting their likes and dislike towards a certain …

Real-time unspecified major sub-events detection in the twitter data stream that cause the change in the sentiment score of the targeted event

R Srivastava, MPS Bhatia - International Journal of Information …, 2017 - igi-global.com
Twitter behaves as a social sensor of the world. The tweets provided by the Twitter Firehose
reveal the properties of big data (ie volume, variety, and velocity). With millions of users on …

Can twitter help to predict outcome of 2019 indian general election: A deep learning based study

A Agarwal, D Toshniwal, J Bedi - … 16–20, 2019, Proceedings, Part II, 2020 - Springer
Traditionally, elections polls have been widely used to analyse trend and to predict likely
election results. However, these methods are very expensive and labour intensive. With the …