Intention Mining from Social Network Data: A Fuzzy Logic Model Based on the Theory of Planned Behaviour

The pervasive growth of social networks has led to an unprecedented wealth of information generated by users, providing vast opportunities for understanding and predicting user intentions. This research aims to investigate the impact of sentiment analysis on modelling social network users' intentions, focusing on the Theory of Planned Behaviour (TPB) and Fuzzy Logic (FL). Drawing upon publicly available online datasets and data collected from social media platforms such as Twitter, this thesis employs advanced sentiment analysis and fuzzy logic techniques to create a robust model for estimating user intentions. By examining users' attitudes, subjective norms, and perceived behavioural control, valuable insights into the factors influencing their social network behaviour are uncovered. The study employs advanced classifiers such as the Decision Tree, Naive Bayes, and Support Vector Machine to validate the efficacy of features in predicting user intentions. Furthermore, the thesis underscores the significance of sentiment analysis, utilising the NRC Valence, Arousal, and Dominance (VAD) Lexicon to evaluate users' opinions and emotions towards various topics, products, and services. The seamless integration of sentiment analysis and fuzzy logic into the methodology for modelling the TPB ensures accurate and reliable results. The contribution of this research lies in its ability to provide a more comprehensive understanding of the impact of sentiment analysis on social network users' intentions and to demonstrate the feasibility of using fuzzy logic in different applications, such as recommendation systems. The results of this research will interest a wide range of stakeholders, including researchers, businesses, and policymakers. In conclusion, this thesis presents a novel and comprehensive methodology for understanding and predicting user intentions within social networks, ultimately facilitating the development of tailored and effective marketing and advertising strategies.