Context. Social media platforms such as Facebook and Twitter carry a big load of people's
opinions about politics and leaders, which makes them a good source of information for …

Elections are the main instrument of democracy. Citizens decide which entity or entities (a
political party or a particular politician) should represent them. Traditionally, pre-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 …

Election prediction using sentiment analysis is a rapidly growing field that utilizes natural
language processing and machine learning techniques to predict the outcome of political …

Recently, Twitter sentiment analysis (TSA) has been successfully employed to monitor and
forecast elections in many studies. However, most of the existing studies rely on extracting …

Introduction: In the present scenario, the social media network plays a significant role in
sharing information between individuals. This incorporates information about news and …

Forecasting political elections has attracted a lot of attention. Traditional election forecasting
models in political science generally take preference in poll surveys and economic growth at …

Twitter is an online news and person-to-person communication website, where users can
post their thoughts and emotions as tweets concerning an issue, actuality, choice, and so on …

This study introduces and evaluates the robustness of different volumetric, sentiment, and
social network approaches to predict the elections in three Asian countries–Malaysia, India …

Twitter sentiment analysis is quick and inexpensive way for real-time election monitoring
and modern day election predictions. Recent research relies on explicit mining of public …