Related Query

Google Trends Related Queries Dataset The third dataset consists of monthly related search queries obtained from the “Related Queries” section of Google Trends for both target brands. These related queries offer insights into specific user intents and behaviors beyond the main brand search. For each month between 2014 and 2024, related query data was downloaded as CSV files using Google Trends' built-in export functionality. To enrich this dataset, we manually added a sentiment column to each query. Specifically: - A subset of ~3,000 unique queries was labeled by three independent annotators as positive, negative, or neutral based on domain-specific criteria. - A domain expert finalized the annotation where disagreements occurred. - These labeled queries were later used to train and validate a hybrid sentiment analysis model combining lexicon-based and deep learning techniques. -All ~16,000 queries extracted over 10 years were automatically labeled by the trained model. This annotated dataset was crucial for calculating sentiment-aware indicators, such as: - Positive Sentiment Ratio (PSR) - Negative Sentiment (NS) - Brand Consideration (PS)