Telegram Sentiment Analysis API

[nolanjacobson]

Summary

To enhance our understanding of user sentiment within Telegram channels and private messages, we propose the development of a feature that scrapes Telegram messages and performs sentiment analysis on the collected data.

Goals

• Scrape messages from specified Telegram channels and private chats.
• Analyze the sentiment of the messages to gauge user sentiment trends.
• Provide insights that can help in community management and marketing strategies.

Requirements

• Develop or integrate a Telegram bot capable of reading messages from channels and private chats.
• Ensure compliance with Telegram's API usage policies and data privacy regulations.
• Implement a sentiment analysis model or use a third-party service to evaluate message sentiments.
• Store the results in a structured format for further analysis and reporting.

Potential Challenges

• Ensuring the bot only operates in channels and chats where it has explicit permission to scrape messages.
• Dealing with various languages and the nuances of sentiment analysis.
• Managing the volume of messages and the performance of the sentiment analysis process.

Compliance and Security

• Review and adhere to Telegram's API terms and privacy policies.
• Ensure that user consent is obtained before scraping private messages.
• Implement data encryption and secure storage practices for sensitive data.

Resources

• Telegram Bot API Documentation
• Sentiment Analysis Libraries/Services

Acceptance Criteria

• Sentiment analysis is performed accurately on the scraped messages.
• Insights and sentiment trends are reported in an accessible format for stakeholders.

[mudler]

not part of the sprint yet - unassigning @nolanjacobson and moving back to No status as waiting for grooming

[mudler]

This is actually blocked by #312