BrowserAct Enables Intuitive News Sentiment Classification via Auto-Monitoring
BrowserAct Enables Intuitive News Sentiment Classification via Auto-Monitoring
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Automate positive/negative news distinction across Reddit and Google News with this workflow. Get instant sentiment alerts via Telegram, no manual sorting needed. WHAT IT DOES: Scrapes news from Reddit/Google News via BrowserAct Automatically classifies news as positive/negative Sends alerts/interactions via Telegram, handles errors instantly Parses keywords, uses routing for automated sentiment analysis HOW IT WORKS: Telegram Trigger initiates the workflow Interacts with users, sends start alert, parses keywords via AI tools BrowserAct scrapes Reddit/Google News data, analyzes sentiment Routes to classify Good/Bad News, sends results/error alerts via Telegram REQUIREMENTS: BrowserAct account (Reddit/Google News workflows) Telegram Bot for notifications AI tool for keyword/sentiment analysis PERFECT FOR: News analysts, researchers, teams needing automated multi-platform news sentiment monitoring. TIME SAVED: 200-400 hours/year SETUP TIME: 45-60 mins Automate news sentiment insights and cut manual classification time drastically!
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Evaluates the tone of a text and determines if it’s `positive`, `neutral`, or `negative`. This is known as the sentiment.
Sends answer to an inline query.
Sends a request for AI to answer. The response will always be in the text format.
Analyzes text and assigns it to categories from a list you define.
Splits text into smaller, more manageable pieces. These are known as chunks.
Creates an additional invite link for a chat.
Deletes a message. A message can only be deleted if it was sent less than 48 hours ago.
Downloads a file from the Telegram server.
Edits a non-primary invite link created by the bot.
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