Policy Development

TownSense is set to revolutionize the political landscape by leveraging machine learning algorithms to analyze data while providing residents with community-driven policies. We provide a real-time system for gathering, analyzing and understanding what large groups of people think in their own words, enabled by advanced statistics and machine learning.
Local city governments can greatly benefit from using Sentiment Analysis to create more effective policies for their residents. By collecting data from surveys, governments can gauge public opinion on various issues in real-time. TownsSense uses Pol.is technology to help analyze residents’ feelings and attitudes toward specific policies or proposals. The insights gained enable city officials to more accurately understand public sentiment and tailor policies that better reflect the community’s needs and preferences.

Polis Interface

Our platform uses Polis – a community-based survey that aims to provide a more transparent and efficient way for residents to engage with their representatives and make informed decisions on important policy issues. Our motto of “Right Now Policy” is driven to be at the forefront of “Consensus Policy” by providing both Political leaders and their constituents a real-time visual of patterns and opinions. By doing so, we can provide a more transparent analysis of policies being vetted.
Real-time data collection and analysis encourage greater participation from both council members and their constituents. Local Government Officials can more promptly address concerns, showing responsiveness and accountability, which fosters trust and engagement. Constituents, seeing that their feedback is valued and has an immediate impact, are more likely to participate in surveys and civic activities.

Policy Development

Sentiment Analysis is employed in Political Campaigns and Governance to understand public sentiment towards political candidates, policies, and issues.

Mental Wellness

Sentiment Analysis is used in Mental Wellness for practitioners to gauge and measure their client's sessions to analyse patterns of behavior.

Social Media

Companies leverage Sentiment Analysis to monitor Social Media platforms to understand customer opinions, brand sentiment, and emerging trends.

Academia / Research

Academia can benefit from using Sentiment Analysis to track citations and data in research papers, measuring shifts in public opinion, and novel ideations.

Customer Feedback

Sentiment Analysis helps Businesses Analyze customer reviews, feedback, and surveys to gain insights into customer satisfaction and identify areas for improvement.

Financial Markets

Sentiment Analysis is utilized in Financial Markets to analyze news articles, social media discussions, and other textual data for sentiment-driven trading strategies.

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