Analyze sentiment of new mentions from Twitter
Apps used in template
About
Every time a new mention is posted to Twitter, Make automatically analyze sentiment with Google Natural Language and save the result as a new row to Google Sheets. The template uses this example spreadsheet.
Trusted by thousands of fast-scaling organizations around the globe
Similar templates for inspiration
Looking to get more out of your apps? With Make, you can visually integrate any app into any workflow to save time and resources - no coding required. Try any of these templates in just a few clicks.
The Google Sheets module checks for matches between the sender’s email address and the list of client email addresses. If a match is found, the label client_mailbox
is added to the email. More information here.
Save time by automatically generating completions to any topic, for example, SEO keywords from your content topics. Learn more
When a Slack message is sent in a specified channel, the scenario checks the Google sheet with addresses. If it’s already there, it does nothing. But if it’s not there, the scenario adds the new email to the list. More information here.
Create your own workflow
Create custom workflows by choosing triggers, actions, and searches. A trigger is an event that launches the workflow, an action is the event.
Adds a member to a list.
Searches entities in the text along with entity types, salience, mentions for each entity, and other properties.
Searches entities in the text and analyzes sentiment associated with each entity and its mentions.
Analyzes the sentiment of the provided text.
Analyzes the syntax of the text and provides sentence boundaries and tokenization along with part of speech tags, dependency trees, and other properties.
Generates bundles with their own structure.
Classifies a document into categories.
Composes a string for easier mapping of scenarios.
Converts a text from one codepage to another.
FAQ
How Make works
Thousands of fast-scaling businesses create and automate on Make