Feb 24, 2018 · We are noticing a new era of social networks where in a blink of eye millions of tweets about any topic can be emerged.

Consequently, the PCA components have been exercised into a fuzzy system. In particular, we used ANFIS (Adaptive Neuro Fuzzy Inference System) to predict a ...

This work used ANFIS (Adaptive Neuro Fuzzy Inference System) to predict a presidential candidate's popularity on a single day using sentiment analysis from ...

Oct 22, 2024 · The use of fuzzy logic in social science to evaluate the prediction is the core part of this paper. A toolbox from MATLAB software named fuzzy logic toolbox is ...

Some input arguments are being considered which scaled using linguistic variables to predict the chances of winning along with chances of losing of a candidate.

The forecasting of presidential election results (PERs) is a very complex problem due to the diversity of electoral factors and the uncertainty involved.

Apr 8, 2021 · This research identified 787 studies related to election predictions on Twitter. 98 primary studies were selected after defining and implementing several ...

Philipp Haindl. List of references. Wang, L., Gan, J.Q.: Prediction of the 2017 French election based on Twitter data analysis ...

Jun 20, 2023 · Prominently, this study highlights the suitability of fuzzy-based SA approaches into five different classes vis-a-vis (a) Sentiment Cognition ...

This study draws on political science prediction models and modifies them in two aspects. First, our approach uses Twitter sentiment to replace polling data.