NLKT Sentiment Analysis
Analyzing Public Discourse:
A Sentiment Analysis of Social Media Discussions on the Israeli-Palestinian Conflict.
Capstone Sponsor: Flickr
Introduction:
This research project examines the dynamics of public discourse surrounding the Israeli-Palestinian conflict through advanced sentiment analysis of social media interactions.
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Data Collection
Leveraging the Flickr API, I collected and analyzed extensive metadata and user comments from conflict-related photo content. The study implemented a sophisticated data processing pipeline that incorporates text normalization techniques and natural language processing to ensure data quality and consistency.
Data Analysis
The analytical framework employs NLTK's VADER (Valence Aware Dictionary and sEntiment Reasoner) SentimentIntensityAnalyzer to conduct nuanced sentiment classification and scoring. The methodology extends beyond basic sentiment analysis by incorporating emotion keyword extraction, enabling a deeper understanding of the specific language patterns that shape public discourse.
Final Deliverable
The findings are presented through an interactive Streamlit dashboard, offering stakeholders comprehensive visualization tools to explore temporal sentiment patterns, engagement metrics, and emotional language distribution. Through this multi-platform analysis integrating visual content from Flickr and textual discussions, the research reveals significant correlations between sentiment fluctuations and key historical events. This project contributes to the growing field of digital public opinion analysis, providing valuable insights for researchers, policymakers, and social scientists studying the intersection of social media discourse and global conflicts.
