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 …
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 …
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.
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 …
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
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 …
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
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 …
various social, economic, political, and other issues affecting people across the world …
Estimating ideology and polarization in European countries using Facebook data
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 …
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.
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 …
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 …
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
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 …
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
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 …
election results. However, these methods are very expensive and labour intensive. With the …