Semantic Analysis

Internet-based social channels have turned into an important information repository for many people to get an idea about current trends and events happening around the world. As a result of Abundance of raw information on these social media platforms, it has become a crucial platform for businesses and individuals to make decisions based on social media analytics. The ever-expanding volume of online data available on the global network necessitates the use of specialized techniques and methods to effectively analyse and utilize this vast amount of information. This study's objective is to comprehend the textual information at the Lexical and Semantic level and to extract sentiments from this information in the most accurate way possible. To achieve this, the paper proposes to cluster semantically related words by evaluating their lexical similarity with respect to feature and sequence vectors. The proposed method utilizes Natural Language Processing, semantic and lexical clustering and hybrid C4.5 algorithm to extract six subcategories of emotions over three classes of sentiments based on word-based analysis of text. The proposed approach has yielded superior results with seven existing approaches in terms of parametric values, with an accuracy of 0.96, precision of 0.92, sensitivity of 0.94, and an f1-score of 0.92.

This study provides a comparative analysis of the rhetorical, pragmatic, and semantic strategies used by English-speaking and Arabic-speaking politicians to manipulate their audiences. By examining political speeches from both linguistic contexts, the research reveals distinct cultural patterns in manipulation. English-speaking politicians often employ direct, fact-based appeals (logos), while Arabic-speaking politicians rely more on emotional and collective identity appeals (pathos). These strategies reflect the cultural and linguistic norms of each group. Additionally, the study highlights the evolving impact of digital media on political communication, showing how manipulative strategies have adapted to new technological platforms. The findings have important implications for political communication strategists, media professionals, and educators. They underscore the need for culturally nuanced communication strategies in cross-cultural political discourse, offer insights for enhancing public media literacy to combat manipulation, and provide a framework for further research into the role of digital platforms in shaping political rhetoric. Additionally, the study highlights the evolving impact of digital media on political communication, showing how manipulative strategies have adapted to new technological platforms. The findings have important implications for political communication strategists, media professionals, and educators. They underscore the need for culturally nuanced communication strategies in cross-cultural political discourse, offer insights for enhancing public media literacy to combat manipulation, and provide a framework for further research into the role of digital platforms in shaping political rhetoric.