
BettaFish: Public Opinion AI
Free

BettaFish is a multi-agent AI system for public opinion analysis, developed in Python. It comprises five specialized components: QueryEngine, DataFetcher, SentimentAnalyzer, TopicExtractor, and ReportGenerator. The system is designed to gather, analyze, and summarize public sentiment from various sources. It provides insights into trending topics, sentiment distribution, and key opinions related to a specific subject. BettaFish is built to offer a comprehensive understanding of public discourse, making it valuable for businesses, researchers, and anyone interested in monitoring and understanding public opinion.
Utilizes multiple specialized agents for efficient and focused analysis.
Provides insights into the positive, negative, and neutral sentiments expressed.
Identifies and highlights the key topics and themes discussed.
Collects data from various sources for comprehensive analysis.
Generates concise and informative reports summarizing the findings.
Built using Python, offering flexibility and customization options.
Define your search query or topic of interest.,Specify the data sources you want to analyze.,Initiate the analysis process within the BettaFish system.,Review the generated reports and insights.,Interpret the sentiment analysis, topic extraction, and overall public opinion trends.
Track public perception of a brand across social media and online platforms.
Understand consumer opinions and trends related to specific products or services.
Analyze public sentiment towards political figures, policies, and events.
Monitor and respond to negative public opinion during a crisis.
Companies seeking to understand customer sentiment and market trends.
Academics and analysts studying public opinion and social trends.
Individuals looking to gauge campaign effectiveness and brand perception.
Details not available in the provided context, but the system is open-source.